From eb2ead1f67141b7acda262cb7287613cd0f04ed0 Mon Sep 17 00:00:00 2001 From: COROLTH1 Date: Mon, 21 Jun 2021 13:20:55 -0400 Subject: [PATCH] init --- .gitignore | 39 + .pylintrc | 407 + README.md | 94 + environment.yml | 102 + src/helper.py | 146 + .../2_train_umap_112_224-checkpoint.ipynb | 315 + .../Diversity/1_generate_synth_112_224.ipynb | 466 + .../Diversity/2_train_umap_112_224.ipynb | 315 + .../Diversity/3_plot_umap_diversity.ipynb | 228 + .../Diversity/4_classifier_analysis.ipynb | 449 + .../Diversity/images/Region_trained.png | Bin 0 -> 493103 bytes .../images/synthetic_classifier_ROC.png | Bin 0 -> 154085 bytes .../images/synthetic_classifier_confusion.png | Bin 0 -> 78895 bytes .../Diversity/images/train_classifier_ROC.png | Bin 0 -> 158023 bytes .../images/train_classifier_confusion.png | Bin 0 -> 79108 bytes src/manuscript/Diversity/train_classifier.py | 264 + .../1_images_qualitative_inspection.ipynb | 354 + src/manuscript/Fidelity/helpers/utils.py | 120 + 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src/manuscript/Train/transforms/augmentations.py create mode 100755 src/manuscript/Train/transforms/transforms.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..3b77d3c --- /dev/null +++ b/.gitignore @@ -0,0 +1,39 @@ +# Ignore everyting +* + +# Except system files +!.gitignore +!*.md + +# Except folders + +!src/ +!src/model/ +!src/manuscript/ +!src/manuscript/* +!src/manuscript/Diversity/* +!src/manuscript/Diversity/images/* +!src/manuscript/Fidelity/* +!src/manuscript/Fidelity/images/* +!src/manuscript/Fidelity/helpers/* +!src/manuscript/Privacy/* +!src/manuscript/Privacy/images/* +!src/manuscript/Privacy/images/supp/* +!src/manuscript/Train/* +!src/manuscript/Train/restricted/* +!src/manuscript/Train/restricted/splitT1STIRv1.npy + +# Except files +!*.py +!*.ipynb +!*.pylintrc +!*.cfg +!*.json +!*.yml +!*.sh +!*.zip +!*.png +!*.pt +!*.pkl +!*.pptx +*.ipynb_checkpoints/* \ No newline at end of file diff --git a/.pylintrc b/.pylintrc new file mode 100644 index 0000000..abfdec0 --- /dev/null +++ b/.pylintrc @@ -0,0 +1,407 @@ +[MASTER] + +# Specify a configuration file. +#rcfile= + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +init-hook="import sys; sys.path.append("src"); sys.path.append("tests")" + +# Add files or directories to the blacklist. They should be base names, not +# paths. +ignore=CVS + +# Add files or directories matching the regex patterns to the blacklist. The +# regex matches against base names, not paths. +ignore-patterns= + +# Pickle collected data for later comparisons. +persistent=yes + +# List of plugins (as comma separated values of python modules names) to load, +# usually to register additional checkers. +load-plugins= + +# Use multiple processes to speed up Pylint. +jobs=1 + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +unsafe-load-any-extension=no + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code +extension-pkg-whitelist=pysam + +# Allow optimization of some AST trees. This will activate a peephole AST +# optimizer, which will apply various small optimizations. For instance, it can +# be used to obtain the result of joining multiple strings with the addition +# operator. Joining a lot of strings can lead to a maximum recursion error in +# Pylint and this flag can prevent that. It has one side effect, the resulting +# AST will be different than the one from reality. This option is deprecated +# and it will be removed in Pylint 2.0. +optimize-ast=no + + +[MESSAGES CONTROL] + +# Only show warnings with the listed confidence levels. Leave empty to show +# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED +confidence= + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where +# it should appear only once). See also the "--disable" option for examples. +#enable= + +# Disable the message, report, category or checker with the given id(s). You +# can either give multiple identifiers separated by comma (,) or put this +# option multiple times (only on the command line, not in the configuration +# file where it should appear only once).You can also use "--disable=all" to +# disable everything first and then reenable specific checks. For example, if +# you want to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use"--disable=all --enable=classes +# --disable=W" +disable=missing-docstring,invalid-name,locally-disabled,unsubscriptable-object,duplicate-code,no-else-return + + +[REPORTS] + +# Set the output format. Available formats are text, parseable, colorized, msvs +# (visual studio) and html. You can also give a reporter class, eg +# mypackage.mymodule.MyReporterClass. +output-format=text + +# Put messages in a separate file for each module / package specified on the +# command line instead of printing them on stdout. Reports (if any) will be +# written in a file name "pylint_global.[txt|html]". This option is deprecated +# and it will be removed in Pylint 2.0. +files-output=no + +# Tells whether to display a full report or only the messages +reports=yes + +# Python expression which should return a note less than 10 (10 is the highest +# note). You have access to the variables errors warning, statement which +# respectively contain the number of errors / warnings messages and the total +# number of statements analyzed. This is used by the global evaluation report +# (RP0004). +evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details +#msg-template= + + +[BASIC] + +# Good variable names which should always be accepted, separated by a comma +good-names=i,j,k,ex,Run,_ + +# Bad variable names which should always be refused, separated by a comma +bad-names=foo,bar,baz,toto,tutu,tata + +# Colon-delimited sets of names that determine each other's naming style when +# the name regexes allow several styles. +name-group= + +# Include a hint for the correct naming format with invalid-name +include-naming-hint=no + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. +property-classes=abc.abstractproperty + +# Regular expression matching correct module names +module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Naming hint for module names +module-name-hint=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Regular expression matching correct constant names +const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Naming hint for constant names +const-name-hint=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Regular expression matching correct class names +class-rgx=[A-Z_][a-zA-Z0-9]+$ + +# Naming hint for class names +class-name-hint=[A-Z_][a-zA-Z0-9]+$ + +# Regular expression matching correct function names +function-rgx=[a-z_][a-z0-9_]{2,30}$ + +# Naming hint for function names +function-name-hint=[a-z_][a-z0-9_]{2,30}$ + +# Regular expression matching correct method names +method-rgx=[a-z_][a-z0-9_]{2,30}$ + +# Naming hint for method names +method-name-hint=[a-z_][a-z0-9_]{2,30}$ + +# Regular expression matching correct attribute names +attr-rgx=[a-z_][a-z0-9_]{2,30}$ + +# Naming hint for attribute names +attr-name-hint=[a-z_][a-z0-9_]{2,30}$ + +# Regular expression matching correct argument names +argument-rgx=[a-z_][a-z0-9_]{2,30}$ + +# Naming hint for argument names +argument-name-hint=[a-z_][a-z0-9_]{2,30}$ + +# Regular expression matching correct variable names +variable-rgx=[a-z_][a-z0-9_]{2,30}$ + +# Naming hint for variable names +variable-name-hint=[a-z_][a-z0-9_]{2,30}$ + +# Regular expression matching correct class attribute names +class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Naming hint for class attribute names +class-attribute-name-hint=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Regular expression matching correct inline iteration names +inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ + +# Naming hint for inline iteration names +inlinevar-name-hint=[A-Za-z_][A-Za-z0-9_]*$ + +# Regular expression which should only match function or class names that do +# not require a docstring. +no-docstring-rgx=^_ + +# Minimum line length for functions/classes that require docstrings, shorter +# ones are exempt. +docstring-min-length=-1 + + +[ELIF] + +# Maximum number of nested blocks for function / method body +max-nested-blocks=15 + + +[FORMAT] + +# Maximum number of characters on a single line. +max-line-length=160 + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines=^\s*(# )??$ + +# Allow the body of an if to be on the same line as the test if there is no +# else. +single-line-if-stmt=no + +# List of optional constructs for which whitespace checking is disabled. `dict- +# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}. +# `trailing-comma` allows a space between comma and closing bracket: (a, ). +# `empty-line` allows space-only lines. +no-space-check=trailing-comma,dict-separator + +# Maximum number of lines in a module +max-module-lines=1000 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string=' ' + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren=4 + +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +expected-line-ending-format= + + +[LOGGING] + +# Logging modules to check that the string format arguments are in logging +# function parameter format +logging-modules=logging + + +[MISCELLANEOUS] + +# List of note tags to take in consideration, separated by a comma. +notes=FIXME,XXX,TODO + + +[SIMILARITIES] + +# Minimum lines number of a similarity. +min-similarity-lines=8 + +# Ignore comments when computing similarities. +ignore-comments=yes + +# Ignore docstrings when computing similarities. +ignore-docstrings=yes + +# Ignore imports when computing similarities. +ignore-imports=yes + + +[SPELLING] + +# Spelling dictionary name. Available dictionaries: none. To make it working +# install python-enchant package. +spelling-dict= + +# List of comma separated words that should not be checked. +spelling-ignore-words= + +# A path to a file that contains private dictionary; one word per line. +spelling-private-dict-file= + +# Tells whether to store unknown words to indicated private dictionary in +# --spelling-private-dict-file option instead of raising a message. +spelling-store-unknown-words=no + + +[TYPECHECK] + +# Tells whether missing members accessed in mixin class should be ignored. A +# mixin class is detected if its name ends with "mixin" (case insensitive). +ignore-mixin-members=yes + +# List of module names for which member attributes should not be checked +# (useful for modules/projects where namespaces are manipulated during runtime +# and thus existing member attributes cannot be deduced by static analysis. It +# supports qualified module names, as well as Unix pattern matching. +ignored-modules= + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes=optparse.Values,thread._local,_thread._local + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. +generated-members= + +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators=contextlib.contextmanager + + +[VARIABLES] + +# Tells whether we should check for unused import in __init__ files. +init-import=no + +# A regular expression matching the name of dummy variables (i.e. expectedly +# not used). +dummy-variables-rgx=(_+[a-zA-Z0-9]*?$)|dummy + +# List of additional names supposed to be defined in builtins. Remember that +# you should avoid to define new builtins when possible. +additional-builtins= + +# List of strings which can identify a callback function by name. A callback +# name must start or end with one of those strings. +callbacks=cb_,_cb + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules=six.moves,future.builtins + + +[CLASSES] + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods=__init__,__new__,setUp + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg=cls + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg=mcs + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected=_asdict,_fields,_replace,_source,_make + + +[DESIGN] + +# Maximum number of arguments for function / method +max-args=10 + +# Argument names that match this expression will be ignored. Default to name +# with leading underscore +ignored-argument-names=_.* + +# Maximum number of locals for function / method body +max-locals=45 + +# Maximum number of return / yield for function / method body +max-returns=6 + +# Maximum number of branch for function / method body +max-branches=50 + +# Maximum number of statements in function / method body +max-statements=250 + +# Maximum number of parents for a class (see R0901). +max-parents=7 + +# Maximum number of attributes for a class (see R0902). +max-attributes=15 + +# Minimum number of public methods for a class (see R0903). +min-public-methods=2 + +# Maximum number of public methods for a class (see R0904). +max-public-methods=20 + +# Maximum number of boolean expressions in a if statement +max-bool-expr=5 + + +[IMPORTS] + +# Deprecated modules which should not be used, separated by a comma +deprecated-modules=optparse + +# Create a graph of every (i.e. internal and external) dependencies in the +# given file (report RP0402 must not be disabled) +import-graph= + +# Create a graph of external dependencies in the given file (report RP0402 must +# not be disabled) +ext-import-graph= + +# Create a graph of internal dependencies in the given file (report RP0402 must +# not be disabled) +int-import-graph= + +# Force import order to recognize a module as part of the standard +# compatibility libraries. +known-standard-library= + +# Force import order to recognize a module as part of a third party library. +known-third-party=enchant + +# Analyse import fallback blocks. This can be used to support both Python 2 and +# 3 compatible code, which means that the block might have code that exists +# only in one or another interpreter, leading to false positives when analysed. +analyse-fallback-blocks=no + + +[EXCEPTIONS] + +# Exceptions that will emit a warning when being caught. Defaults to +# "Exception" +overgeneral-exceptions=Exception diff --git a/README.md b/README.md new file mode 100644 index 0000000..59d37ed --- /dev/null +++ b/README.md @@ -0,0 +1,94 @@ +# Oxford AS MRI internship project + +## Project + +Investigate application of `GANs` in medical images. Scope of the project include: +1. Generate artificial images of vertebra units (VUs) conditioned on anatomical region. +2. Conduct an extensive evaluation of the dataset behavior and on the trade off between image quality/dataset faithfulness and privacy. + +### Code Lifting +Because the original data is not anonimized, it is not shared with the code. The preprocessing is not shared here either to avoid sharing sensitive system information.
+This code cannot be run end to end out of the box.
+Notebooks for analaysis still hold latest state with figures.
+An hdf5 database of the synethetic dataset (10000 pairs of images and region, 2.95GB) is shared with the code.
+With some minor tweaking, the synthetic dataset can be used to run training and analysis to validate the code. +(The analysis itself will be far less relevant because comparing privacy on two synthetic dataset is not very useful) + +### Scripts, Notebooks and Demos +1. __Training and generating synthetic VUs and corresponding regions__ `src/manuscript/Train` + - Training: python code is `src/manuscript/Train/train_berlin.py` + - Inference: Generating synthetic samples from `src/manuscript/Train/Generate_image.ipynb.py` +2. __Fidelity - Analysis__ `src/manuscript/Fidelity` + - Fetching and plotting real images from different regions, plotting synthetic samples, interpolating between classes: `src/manuscript/Fidelity/1_images_qualitative_inspection.ipynb` +3. __Diversity - Analysis__ `src/manuscript/Diversity` + - Preprocessing, preparing dataset and training UMAP: `1_generate_synth_112_224.ipynb` and `2_train_umap_112_224.ipynb` + - UMAP diversity visualization: `3_plot_umap_diversity.ipynb` + - Classification analysis, quantitative diversity evaluation: `4_classifier_analysis.ipynb` +4. __Privacy - Analysis__ `src/manuscript/Privacy` + - Preprocessing, computing features and similartiy: `1_prepare_9_64_64_pixel_space.ipynb`, `2_UMAP_64_64.ipynb` and `3_compute_distances.ipynb` + - Pairwise and density attack robustness: `4_plot_pairwise_attacks.ipynb` and `5_plot_density_attacks.ipynb` + - Embedding space density visualization: `6_density_plot.ipynb` + +### Structure + +```bash +. +├── README.md +├── environment.yml # pgan-env +├── synthetic_dataset.h5 +└── src + ├── helper.py # utiliy function (current date-time for mlflow/grid for image visualization) + └── manuscript + ├── Diversity + │ ├── 1_generate_synth_112_224.ipynb + │ ├── 2_train_umap_112_224.ipynb + │ ├── 3_plot_umap_diversity.ipynb + │ ├── 4_classifier_analysis.ipynb + │ ├── classifier_logs # restricted data (classifier on train might not be private) + │ │ └── ... + │ ├── diversity_saves # restricted data (post processed real dataset included) + │ │ └── ... + │ ├── images + │ │ └── ... + │ └── train_classifier.py + ├── Fidelity + │ ├── 1_images_qualitative_inspection.ipynb + │ ├── helpers + │ │ └── utils.py # code for interpolation between regions + │ └── images + │ └── ... + ├── Privacy + │ ├── 1_prepare_9_64_64_pixel_space.ipynb + │ ├── 2_UMAP_64_64.ipynb + │ ├── 3_compute_distances.ipynb + │ ├── 4_plot_pairwise_attacks.ipynb + │ ├── 5_plot_density_attacks.ipynb + │ ├── 6_density_plot.ipynb + │ ├── images + │ │ ├── ... + │ │ └── supp + │ │ └── ... + │ └── privacy_saves # restricted data (post processed real dataset included, UMAP object might + │ └── ... # not be private) + └── Train + ├── batchers.py + ├── fixed_architecture.py + ├── Generate_image.ipynb + ├── training_parser.py + ├── train_region.py + ├── restricted # restricted data (GAN weights, local machine preprocessing, indexes + │ └── ... # of train/val split) + └── transforms + ├── augmentations.py + └── transforms.py +``` +## Team + +__Authors:__ + +- __Hanxi Sun__, or +- __Jason Plawinski__, +- __Thibaud Coroller__, (corresponding author) +- __Mark Baillie__, +- __Sajanth Subramaniam__, + diff --git a/environment.yml b/environment.yml new file mode 100644 index 0000000..7664387 --- /dev/null +++ b/environment.yml @@ -0,0 +1,102 @@ +name: pgan-env +channels: + - defaults + - simpleitk + - pytorch + - conda-forge + - anaconda +dependencies: + - python>=3.7 + - pip + - wheel + - tensorflow + - tensorboard + - torchvision>=0.5 + - cudatoolkit=10.1 + - pytorch + - mlflow + - dash + - dask-core=2.12.0 + - decorator + - defusedxml + - entrypoints + - graphite2>=1.3 + - grpcio=1.16.1 + - h5py + - hdf5 + - imageio>=2.6.1 + - importlib_metadata>=1.5.0 + - ipykernel + - ipython + - ipython_genutils + - ipywidgets + - jedi + - jinja2 + - joblib + - json5 + - jsonschema + - jupyter_client + - jupyter_core + - jupyterlab + - jupyterlab_server + - nbconvert + - kiwisolver + - markdown + - markupsafe + - matplotlib>=3.1.3 + - memory_profiler + - numpy>=1.18.1 + - mistune>=0.8.4 + - nbformat>=5.0 + - networkx>=2.4 + - ninja + - notebook>=6.0 + - olefile>=0.46 + - opencv>=3.4 + - opt_einsum=3.1.0 + - pandas>=1.0 + - pandoc>=2.2 + - pandocfilters + - parso=0.6.1 + - pexpect>=4.8 + - pickleshare=0.7 + - pillow>=7.0 + - pixman + - plotly>=4.5 + - prometheus_client + - protobuf + - py-opencv + - pydicom + - pygments + - pyparsing + - pyrsistent + - python-dateutil + - pytz>=2019.3 + - pywavelets>=1.1.1 + - pyzmq>=18.1.1 + - retrying>=1.3.3 + - scikit-image>=0.16 + - scikit-learn>=0.22 + - scikit-plot>=0.3 + - scipy>=1.4 + - seaborn>=0.10.0 + - setuptools + - simpleitk>=1.2.4 + - six + - sqlite + - testpath>=0.4 + - toolz>=0.10 + - tqdm + - traitlets + - wcwidth + - webencodings + - werkzeug + - widgetsnbextension + - wrapt + - zeromq + - zipp + - zstd + - pycodestyle=2.5.0 + - pylint=2.4.4 + - pytest + - pytest-cov diff --git a/src/helper.py b/src/helper.py new file mode 100644 index 0000000..4c8f320 --- /dev/null +++ b/src/helper.py @@ -0,0 +1,146 @@ +# pylint: disable=E0401 # E0401: import-error (torch & sklearn) +import os +from datetime import datetime +import pickle +from tqdm import tqdm +import numpy as np + +import matplotlib +matplotlib.use('Agg') +import matplotlib.pyplot as plt + + +from sklearn import metrics +from sklearn.model_selection import train_test_split + +import torch +from torchvision.utils import make_grid + +# ================================================================================================================================= # +# Time Tags # +# ================================================================================================================================= # + +def now(abbv=False): + n = datetime.now() + return n.strftime("%m%d-%H%M%S") if abbv else n.strftime("%m%d-%H%M%S-%f") + + +def today(): + return datetime.now().strftime("%m%d") + + +# ================================================================================================================================= # +# Pickle File # +# ================================================================================================================================= # +def dump(obj, file): + with open(file, 'wb') as f: + pickle.dump(obj, f) + + +def load(file): + with open(file, 'rb') as f: + return pickle.load(f) + + +# ================================================================================================================================= # +# Grid Images # +# ================================================================================================================================= # + +def grid_image(image: torch.Tensor, padding=2, pad_value=0., in_3d=False): + """ + get a grid of image (tensor) with each row showing the slices in one 3d image + Args: + image: Tensor of shape [n, num_slice, num_row, num_col] + padding: number of pixels padding between images + pad_value: padding color, 0.0 (black) to 1.0 (white) + """ + if in_3d: + image = image.squeeze(1) + num_slice, num_row, num_col = image.shape[1:] + return make_grid(image.view(-1, 1, num_row, num_col), nrow=num_slice, normalize=True, padding=padding, pad_value=pad_value) + + +# ================================================================================================================================= # +# ROC # +# ================================================================================================================================= # + +def roc_curves(results, types=('fake', 'real', 'noise'), names=None, figsize=(10, 10)): + if names is None: + names = types + fig, ax = plt.subplots(figsize=figsize) + for t, n in zip(types, names): + df = results[results.type == t] + fpr, tpr, _ = metrics.roc_curve(df.label, df.soft, pos_label=1) + ax.plot(fpr, tpr, lw=2, label=f"{n} (area = {metrics.auc(fpr, tpr):.3f})") + ax.legend(fontsize=20) + ax.plot([0, 1], [0, 1], color='black', lw=2, linestyle='--') + ax.set_title("ROC curves", fontsize=24) + ax.set_xlabel("False Positive Rate", fontsize=16) + ax.set_ylabel("True Positive Rate", fontsize=16) + return fig + + +def roc_test(results, types=('fake', 'real'), + roc_boot_file=None, ignore_exists=False, # store/load bootstrapped distribution to save time + boot_n=2000, disable_progress_bar=False): + # pylint: disable=W0511 # fix-me issue (todos) + """ + ROC and AUC (test): compare roc (results['soft'] vs results['label']) # todo make input more general + + (R implementation (pROC/roc.test) not easy to import under BUSDEV => implement python version myself) + ref: https://www.rdocumentation.org/packages/pROC/versions/1.16.2/topics/roc.test + paper: Venkatraman, E. S. "A permutation test to compare receiver operating characteristic curves." Biometrics 56.4 (2000): 1134-1138. + https://pubmed.ncbi.nlm.nih.gov/11129471/ + """ + df1, df2 = results[results.type == types[0]], results[results.type == types[1]] + df1['r'], df2['r'] = df1.soft.rank(method='first'), df2.soft.rank(method='first') + r1, r2 = np.array(df1.r), np.array(df2.r) + d1, d2 = np.array(df1.label), np.array(df2.label) + kappa = (np.sum(d1) + np.sum(d2)) / (d1.shape[0] + d2.shape[0]) + + def roc_stat(_r1, _r2, _d1, _d2): + n, m = _d1.shape[0], _d2.shape[0] + r10, r11 = _r1[_d1 == 0], _r1[_d1 == 1] + r20, r21 = _r2[_d2 == 0], _r2[_d2 == 1] + + f1 = np.array([np.mean(r11 <= i+1) for i in range(n)]) + g1 = np.array([np.mean(r10 <= i+1) for i in range(n)]) + f2 = np.array([np.mean(r21 <= i+1) for i in range(m)]) + g2 = np.array([np.mean(r20 <= i+1) for i in range(m)]) + + p1, p2 = kappa * f1 + (1 - kappa) * g1, kappa * f2 + (1 - kappa) * g2 + exp1, exp2 = kappa * f1 + (1 - kappa) * (1 - g1), kappa * f2 + (1 - kappa) * (1 - g2) + + x = np.hstack([p1, p2]) + fx1, fx2 = np.interp(x, p1, exp1), np.interp(x, p2, exp2) + + # trapezoid integration + return np.trapz(np.abs(fx1 - fx2), x) + + def permute(): + r10, r11 = r1[d1 == 0], r1[d1 == 1] + r20, r21 = r2[d2 == 0], r2[d2 == 1] + _r10, _r20 = train_test_split(np.hstack([r10, r20]), train_size=r10.shape[0]) + _r11, _r21 = train_test_split(np.hstack([r11, r21]), train_size=r11.shape[0]) + _r1, _r2 = np.zeros(r1.shape), np.zeros(r2.shape) + _r1[d1 == 0] = _r10 + _r2[d2 == 0] = _r20 + _r1[d1 == 1] = _r11 + _r2[d2 == 1] = _r21 + return _r1, _r2, d1, d2 + + if roc_boot_file is not None and os.path.exists(roc_boot_file) and not ignore_exists: + s, ss = load(roc_boot_file) + else: + s = roc_stat(r1, r2, d1, d2) + ss = np.array([roc_stat(*permute()) for _ in tqdm(range(boot_n), desc="roc test", disable=disable_progress_bar)]) + if roc_boot_file is not None: + dump((s, ss), roc_boot_file) + + pval = np.mean(ss > s) + + print("Venkatraman's test for two unpaired ROC curves: \n" + f"test statistics = {s:.4f}, p-value = {pval:.2f} {'>' if pval > 0.05 else '<'} 0.05 \n" + f"==> There is {'*NO*' if pval > 0.05 else 'a'} significant difference between ROC curves. ") + + return s, pval diff --git a/src/manuscript/Diversity/.ipynb_checkpoints/2_train_umap_112_224-checkpoint.ipynb b/src/manuscript/Diversity/.ipynb_checkpoints/2_train_umap_112_224-checkpoint.ipynb new file mode 100644 index 0000000..347a759 --- /dev/null +++ b/src/manuscript/Diversity/.ipynb_checkpoints/2_train_umap_112_224-checkpoint.ipynb @@ -0,0 +1,315 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train UMAP (9, 112, 224)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Code for training, loading and projecting data with UMAP into 2D\n", + "We are partly working and interpolating at (9, 112, 224) because the 2D UMAP projections proved to be more human understandable." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import umap\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "import h5py" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading the training set. UMAP will only be trained on real samples originating from the training set.\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load 3000 images\n", + "real_im = h5f['images'][:3000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Training umap using training data. This step can be skipped and if there is already saved umap object.\n", + "Running this might lead to different results than the one presented in the article. The training data was shuffled and the UMAP dimensionality reduction is sensitve to changes in input distribution.\n", + "(Varying the number/sampling of the images used in the training might be enough to get embedding space similar to the one in the article, we were able to reproduce similar projection on many different UMAP training)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Training UMAP\n", + "trans = umap.UMAP(n_neighbors=20, random_state=10, min_dist = 0.0).fit(real_im[:1500].reshape([1500, 9*112*224]))" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "f_name = './diversity_saves/umap_1500.sav'" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "pickle.dump(trans, open(f_name, 'wb'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load UMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "f_name = './diversity_saves/umap_3000.sav'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "loaded_model = pickle.load((open(f_name, 'rb')))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Project UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Projecting umap on a subset unseen training samples and synthetic samples\n", + "Projection is done for 1000 real (from training) and 1000 synthetic images" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "# loading other training samples\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')\n", + "real_im_transform = h5f['images'][3000:4000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the small samples for reproducability\n", + "u_real = loaded_model.transform(real_im_transform.reshape([1000, 9*112*224]))\n", + "np.save('./diversity_saves/umap_real_1k_large.npy', u_real)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./diversity_saves/synth_set.h5', 'r')\n", + "synth_im_transform = h5f['images'][:1000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "u_fake = loaded_model.transform(synth_im_transform.reshape([1000, 9*112*224]))\n", + "np.save('./diversity_saves/umap_synth_1k_large.npy', u_fake)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Project Umap full data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Projecting umap on the whole training and synthetic dataset\n", + "Projection is done for 7832 real (from training) and 10000 synthetic images\n", + "Takes very long to run (around 8h for training + synthetic projection; 20 minutes per split of 1000 images)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b340005649a24913892380be18fbe49e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=8.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Projecting training data with UMAP\n", + "\n", + "# Splitting data into 1000 samples chunk.\n", + "# Working with the whole data would make the projection lag out and the progress untractable\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')\n", + "splits_1k = len(h5f['images'])//1000\n", + "len_train = len(h5f['images'])\n", + "if len_train%1000 != 0:\n", + " splits_1k += 1\n", + "\n", + "umap_train_full = np.zeros((len_train, 2))\n", + "\n", + "for i in tqdm(range(splits_1k)):\n", + " if len_train - i*1000 > 1000:\n", + " upper_bound = 1000*(i+1)\n", + " else:\n", + " upper_bound = len_train\n", + " temp_im_train = h5f['images'][1000*i:upper_bound]\n", + " temp_im_train = np.array(temp_im_train).reshape([len(temp_im_train), 9*112*224])\n", + " \n", + " umap_train_full[1000*i:upper_bound,:] = loaded_model.transform(temp_im_train)\n", + " \n", + "np.save('./diversity_saves/umap_train_full.npy', umap_train_full)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Projecting synthetic data with UMAP\n", + "\n", + "# Splitting data into 1000 samples chunk.\n", + "# Working with the whole data would make the projection lag out and the progress untractable\n", + "h5f = h5py.File('./diversity_saves/synth_set.h5', 'r')\n", + "splits_1k = len(h5f['images'])//1000\n", + "len_synth = len(h5f['images'])\n", + "if len_synth%1000 != 0:\n", + " splits_1k_ += 1\n", + "\n", + "umap_synth_full = np.zeros((len_synth, 2))\n", + "\n", + "for i in tqdm(range(splits_1k)):\n", + " if len_synth - i*1000 > 1000:\n", + " upper_bound = 1000*(i+1)\n", + " else:\n", + " upper_bound = len_synth\n", + " temp_im_synth = h5f['images'][1000*i:upper_bound]\n", + " temp_im_synth = np.array(temp_im_synth).reshape([len(temp_im_synth), 9*112*224])\n", + "\n", + " umap_synth_full[1000*i:upper_bound,:] = loaded_model.transform(temp_im_synth)\n", + "np.save('./diversity_saves/umap_synth_full.npy', umap_synth_full)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.6 (FDA-env)", + "language": "python", + "name": "fda-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Diversity/1_generate_synth_112_224.ipynb b/src/manuscript/Diversity/1_generate_synth_112_224.ipynb new file mode 100644 index 0000000..94d91e7 --- /dev/null +++ b/src/manuscript/Diversity/1_generate_synth_112_224.ipynb @@ -0,0 +1,466 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generate dataset 9_112_224" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### prepares dataset with (9, 112, 224)\n", + "Synthetic dataset was produced at (9, 64, 64). The images are interpolated back to (9, 112, 224).\n", + "We are partly working and interpolating at (9, 112, 224) because the 2D UMAP projections proved to be more human understandable." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import h5py\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import torch\n", + "from torch.utils.data import Dataset, DataLoader\n", + "from torch.nn.functional import interpolate\n", + "\n", + "from tqdm.notebook import tqdm\n", + "from sklearn.metrics import confusion_matrix\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============ Demo information ============\n", + "- Working directory: /src\n", + "- Cuda device: cpu\n", + "==========================================\n" + ] + } + ], + "source": [ + "# Allocate to GPU if available\n", + "# Start relative path at the /src/ folder\n", + "\n", + "gpu = torch.cuda.is_available()\n", + "if gpu:\n", + " os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n", + " device = torch.device('cuda:0')\n", + "else:\n", + " device = torch.device('cpu')\n", + " \n", + "if os.path.basename(os.getcwd()) != 'BDI-imaging': # change dir to ROOT\n", + " os.chdir(\"../../\")\n", + "sys.path.insert(0, \"src\")\n", + "\n", + "print('============ Demo information ============')\n", + "print('- Working directory: /{}'.format(os.getcwd().split('/')[-1]))\n", + "print('- Cuda device: {}'.format(device))\n", + "print('==========================================')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# load batchers for each dataset\n", + "from manuscript.Train.restricted.train_dataset import F2305Dataset, spineNet_split\n", + "from manuscript.Train.restricted.test_dataset import A2209Dataset\n", + "from manuscript.Train.restricted.synthetic_dataset import SynthDataset\n", + "from manuscript.Train.batchers import F2305Batcher, A2209Batcher, SynthBatcher" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Hyper parameters\n", + "image_shape = (9, 112, 224)\n", + "batch_size = 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train set" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['train']\n", + "print(\"Training using F2305...\")\n", + "traindata_f = F2305Dataset(shape=image_shape)\n", + "traindata_f.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_f = DataLoader(F2305Batcher(traindata_f.dataset, traindata_f.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "626c507152e548b5ba1bb5214f6fd7b3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# Initailize array with images and the one with labels\n", + "train_dataset = np.zeros([len(vu_loader_f), 9, 112, 224])\n", + "train_region = np.zeros([len(vu_loader_f), 1])\n", + "\n", + "for index, sample in tqdm(enumerate(vu_loader_f)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " train_dataset[index,:,:,:] = im\n", + " train_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Save training set as a hdf5 file format so it can be sliced without having to load everything in memory\n", + "h5f = h5py.File('./manuscript/Diversity/diversity_saves/train_set.h5', 'w')\n", + "h5f.create_dataset('images', data=train_dataset)\n", + "h5f.create_dataset('regions', data=train_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Val set" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Val using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['val'] + spineNet_split()['test']\n", + "print(\"Val using F2305...\")\n", + "valdata = F2305Dataset(shape=image_shape)\n", + "valdata.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_val = DataLoader(F2305Batcher(valdata.dataset, valdata.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bae7b3781bdf431e801905dbbeb6e2c6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# Initailize array with images and the one with labels\n", + "val_dataset = np.zeros([len(vu_loader_val), 9, 112, 224])\n", + "val_region = np.zeros([len(vu_loader_val), 1])\n", + "\n", + "for index, sample in tqdm(enumerate(vu_loader_val)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " val_dataset[index,:,:,:] = im\n", + " val_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Save training set as a hdf5 file format so it can be sliced without having to load everything in memory\n", + "h5f = h5py.File('./manuscript/Diversity/diversity_saves/val_set.h5', 'w')\n", + "h5f.create_dataset('images', data=val_dataset)\n", + "h5f.create_dataset('regions', data=val_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Test set" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test using A2209...\n" + ] + } + ], + "source": [ + "testdata = A2209Dataset(shape=image_shape)\n", + "print(\"Test using A2209...\")\n", + "testdata.prepare(label_by=\"berlin_clinical\", types=('T1',), subset_fraction=1.0)\n", + "\n", + "vu_loader_test = DataLoader(A2209Batcher(testdata.dataset, testdata.scan_path), batch_size=batch_size, \n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2807792d111b4e8e8c19fb762022d50e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# Initailize array with images and the one with labels\n", + "test_dataset = np.zeros([len(vu_loader_test), 9, 112, 224])\n", + "test_region = np.zeros([len(vu_loader_test), 1])\n", + "\n", + "for index, sample in tqdm(enumerate(vu_loader_test)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " test_dataset[index,:,:,:] = im\n", + " test_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Save training set as a hdf5 file format so it can be sliced without having to load everything in memory\n", + "h5f = h5py.File('./manuscript/Diversity/diversity_saves/test_set.h5', 'w')\n", + "h5f.create_dataset('images', data=test_dataset)\n", + "h5f.create_dataset('regions', data=test_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Synth set" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Synth dataset...\n" + ] + } + ], + "source": [ + "print(\"Synth dataset...\")\n", + "traindata_synth = SynthDataset()\n", + "vu_loader_synth = DataLoader(SynthBatcher(traindata_synth.dataset, traindata_synth.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cbdf3f28b7694f48937e33545ebed2c7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# Load synthetic dataset\n", + "synth_dataset = np.zeros([len(vu_loader_synth), 9, 112, 224])\n", + "synth_region = np.zeros([len(vu_loader_synth), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_synth)):\n", + " im = sample['im']\n", + " im = interpolate(im, size=image_shape[1:], mode='bicubic')\n", + " region = sample['region']\n", + " synth_dataset[index,:,:,:] = im\n", + " synth_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Diversity/diversity_saves/synth_set.h5', 'w')\n", + "h5f.create_dataset('images', data=synth_dataset)\n", + "h5f.create_dataset('regions', data=synth_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Diversity/2_train_umap_112_224.ipynb b/src/manuscript/Diversity/2_train_umap_112_224.ipynb new file mode 100644 index 0000000..347a759 --- /dev/null +++ b/src/manuscript/Diversity/2_train_umap_112_224.ipynb @@ -0,0 +1,315 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train UMAP (9, 112, 224)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Code for training, loading and projecting data with UMAP into 2D\n", + "We are partly working and interpolating at (9, 112, 224) because the 2D UMAP projections proved to be more human understandable." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import umap\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "import h5py" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading the training set. UMAP will only be trained on real samples originating from the training set.\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load 3000 images\n", + "real_im = h5f['images'][:3000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Training umap using training data. This step can be skipped and if there is already saved umap object.\n", + "Running this might lead to different results than the one presented in the article. The training data was shuffled and the UMAP dimensionality reduction is sensitve to changes in input distribution.\n", + "(Varying the number/sampling of the images used in the training might be enough to get embedding space similar to the one in the article, we were able to reproduce similar projection on many different UMAP training)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Training UMAP\n", + "trans = umap.UMAP(n_neighbors=20, random_state=10, min_dist = 0.0).fit(real_im[:1500].reshape([1500, 9*112*224]))" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "f_name = './diversity_saves/umap_1500.sav'" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "pickle.dump(trans, open(f_name, 'wb'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load UMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "f_name = './diversity_saves/umap_3000.sav'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "loaded_model = pickle.load((open(f_name, 'rb')))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Project UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Projecting umap on a subset unseen training samples and synthetic samples\n", + "Projection is done for 1000 real (from training) and 1000 synthetic images" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "# loading other training samples\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')\n", + "real_im_transform = h5f['images'][3000:4000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the small samples for reproducability\n", + "u_real = loaded_model.transform(real_im_transform.reshape([1000, 9*112*224]))\n", + "np.save('./diversity_saves/umap_real_1k_large.npy', u_real)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./diversity_saves/synth_set.h5', 'r')\n", + "synth_im_transform = h5f['images'][:1000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "u_fake = loaded_model.transform(synth_im_transform.reshape([1000, 9*112*224]))\n", + "np.save('./diversity_saves/umap_synth_1k_large.npy', u_fake)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Project Umap full data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Projecting umap on the whole training and synthetic dataset\n", + "Projection is done for 7832 real (from training) and 10000 synthetic images\n", + "Takes very long to run (around 8h for training + synthetic projection; 20 minutes per split of 1000 images)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b340005649a24913892380be18fbe49e", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=8.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Projecting training data with UMAP\n", + "\n", + "# Splitting data into 1000 samples chunk.\n", + "# Working with the whole data would make the projection lag out and the progress untractable\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')\n", + "splits_1k = len(h5f['images'])//1000\n", + "len_train = len(h5f['images'])\n", + "if len_train%1000 != 0:\n", + " splits_1k += 1\n", + "\n", + "umap_train_full = np.zeros((len_train, 2))\n", + "\n", + "for i in tqdm(range(splits_1k)):\n", + " if len_train - i*1000 > 1000:\n", + " upper_bound = 1000*(i+1)\n", + " else:\n", + " upper_bound = len_train\n", + " temp_im_train = h5f['images'][1000*i:upper_bound]\n", + " temp_im_train = np.array(temp_im_train).reshape([len(temp_im_train), 9*112*224])\n", + " \n", + " umap_train_full[1000*i:upper_bound,:] = loaded_model.transform(temp_im_train)\n", + " \n", + "np.save('./diversity_saves/umap_train_full.npy', umap_train_full)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Projecting synthetic data with UMAP\n", + "\n", + "# Splitting data into 1000 samples chunk.\n", + "# Working with the whole data would make the projection lag out and the progress untractable\n", + "h5f = h5py.File('./diversity_saves/synth_set.h5', 'r')\n", + "splits_1k = len(h5f['images'])//1000\n", + "len_synth = len(h5f['images'])\n", + "if len_synth%1000 != 0:\n", + " splits_1k_ += 1\n", + "\n", + "umap_synth_full = np.zeros((len_synth, 2))\n", + "\n", + "for i in tqdm(range(splits_1k)):\n", + " if len_synth - i*1000 > 1000:\n", + " upper_bound = 1000*(i+1)\n", + " else:\n", + " upper_bound = len_synth\n", + " temp_im_synth = h5f['images'][1000*i:upper_bound]\n", + " temp_im_synth = np.array(temp_im_synth).reshape([len(temp_im_synth), 9*112*224])\n", + "\n", + " umap_synth_full[1000*i:upper_bound,:] = loaded_model.transform(temp_im_synth)\n", + "np.save('./diversity_saves/umap_synth_full.npy', umap_synth_full)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.6 (FDA-env)", + "language": "python", + "name": "fda-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Diversity/3_plot_umap_diversity.ipynb b/src/manuscript/Diversity/3_plot_umap_diversity.ipynb new file mode 100644 index 0000000..1dfba12 --- /dev/null +++ b/src/manuscript/Diversity/3_plot_umap_diversity.ipynb @@ -0,0 +1,228 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UMAP diversity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plotting the UMAP projection of the subset of synthetic and real data " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "import h5py\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load UMAP projection\n", + "u_fake = np.load('./diversity_saves/umap_synth_1k_large.npy', allow_pickle=True)\n", + "u_real = np.load('./diversity_saves/umap_real_1k_large.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load synthetic region labels\n", + "h5f = h5py.File('./diversity_saves/synth_set.h5', 'r')\n", + "synth_region = h5f['regions'][:1000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Load training region labels\n", + "h5f = h5py.File('./diversity_saves/train_set.h5', 'r')\n", + "train_region = h5f['regions'][3000:4000]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Split training by region\n", + "index_0 = np.array(train_region == 0.0).flatten()\n", + "index_1 = np.array(train_region == 1.0).flatten()\n", + "index_2 = np.array(train_region == 2.0).flatten()\n", + "u_r_0 = u_real[index_0]\n", + "u_r_1 = u_real[index_1]\n", + "u_r_2 = u_real[index_2]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Split synthetic by region\n", + "index_0 = np.array(synth_region == 0.0).flatten()\n", + "index_1 = np.array(synth_region == 1.0).flatten()\n", + "index_2 = np.array(synth_region == 2.0).flatten()\n", + "u_f_0 = u_fake[index_0]\n", + "u_f_1 = u_fake[index_1]\n", + "u_f_2 = u_fake[index_2]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot figure with different color for each \n", + "plt.figure(figsize=(9, 6))\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "\n", + "plt.scatter(u_r_0[:,0], u_r_0[:,1], s = 20, alpha=0.7, color=cmap(0), facecolor=cmap(0), linewidth=0, label='C real')\n", + "plt.scatter(u_f_0[:,0], u_f_0[:,1], s = 20, alpha=0.7, color=cmap(1), facecolor=cmap(1), linewidth=0, label='C fake')\n", + "\n", + "\n", + "plt.scatter(u_r_1[:,0], u_r_1[:,1], s = 20, alpha=0.7, color=cmap(2), facecolor=cmap(2), linewidth=0, label='T real')\n", + "plt.scatter(u_f_1[:,0], u_f_1[:,1], s = 20, alpha=0.7, color=cmap(3), facecolor=cmap(3), linewidth=0, label='T fake')\n", + "\n", + "\n", + "plt.scatter(u_r_2[:,0], u_r_2[:,1], s = 20, alpha=0.7, color=cmap(4), facecolor=cmap(4), linewidth=0, label='L real')\n", + "plt.scatter(u_f_2[:,0], u_f_2[:,1], s = 20, alpha=0.7, color=cmap(5), facecolor=cmap(5), linewidth=0, label='L fake')\n", + "\n", + "plt.title('Low dimensional representation of real and synthetic VU by region')\n", + "plt.legend()\n", + "# One single outlier shrinks the scale, recenter on 99.95% of the points\n", + "plt.ylim([-4, 4])\n", + "plt.xticks([])\n", + "plt.yticks([])\n", + "plt.savefig('./images/Region_trained.png', dpi=300, bbox='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### With outlier" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([], [])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot figure with different color for each\n", + "# One single outlier shrinks the scale\n", + "\n", + "plt.figure(figsize=(9, 6))\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "\n", + "plt.scatter(u_r_0[:,0], u_r_0[:,1], s = 20, alpha=0.7, color=cmap(0), facecolor=cmap(0), linewidth=0, label='C real')\n", + "plt.scatter(u_f_0[:,0], u_f_0[:,1], s = 20, alpha=0.7, color=cmap(1), facecolor=cmap(1), linewidth=0, label='C fake')\n", + "\n", + "\n", + "plt.scatter(u_r_1[:,0], u_r_1[:,1], s = 20, alpha=0.7, color=cmap(2), facecolor=cmap(2), linewidth=0, label='T real')\n", + "plt.scatter(u_f_1[:,0], u_f_1[:,1], s = 20, alpha=0.7, color=cmap(3), facecolor=cmap(3), linewidth=0, label='T fake')\n", + "\n", + "\n", + "plt.scatter(u_r_2[:,0], u_r_2[:,1], s = 20, alpha=0.7, color=cmap(4), facecolor=cmap(4), linewidth=0, label='L real')\n", + "plt.scatter(u_f_2[:,0], u_f_2[:,1], s = 20, alpha=0.7, color=cmap(5), facecolor=cmap(5), linewidth=0, label='L fake')\n", + "\n", + "plt.title('Low dimensional representation of real and synthetic VU by region')\n", + "plt.legend()\n", + "plt.xticks([])\n", + "plt.yticks([])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Diversity/4_classifier_analysis.ipynb b/src/manuscript/Diversity/4_classifier_analysis.ipynb new file mode 100755 index 0000000..9a45349 --- /dev/null +++ b/src/manuscript/Diversity/4_classifier_analysis.ipynb @@ -0,0 +1,449 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Classifier analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this notebook we compare the performance between the classifier trained on F2305 and the one which was trained purely on sythetic data." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============ Demo information ============\n", + "- Working directory: /BDI-imaging/src\n", + "- Cuda device: cpu\n", + "==========================================\n" + ] + } + ], + "source": [ + "import torchvision\n", + "import torch \n", + "import copy\n", + "from torch.utils.data import DataLoader \n", + "from tqdm import tqdm\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt \n", + "import numpy as np\n", + "import os\n", + "import sys\n", + "import pgan\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "gpu = torch.cuda.is_available()\n", + "if gpu:\n", + " os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n", + " device = torch.device('cuda:0')\n", + "else:\n", + " device = torch.device('cpu')\n", + " \n", + "if os.path.basename(os.getcwd()) != 'BDI-imaging': # change dir to ROOT\n", + " os.chdir(\"../../\")\n", + "sys.path.insert(0, \"src\")\n", + "print('============ Demo information ============')\n", + "print('- Working directory: /{}'.format('/'.join(os.getcwd().split('/')[-2:])))\n", + "print('- Cuda device: {}'.format(device))\n", + "print('==========================================')\n", + "\n", + "\n", + "from manuscript.Train.test_dataset import A2209Dataset, A2209Batcher" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Load network and weights" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "net = torchvision.models.resnet18(pretrained=False)\n", + "# modify input layer from 3 to 9 channels\n", + "net.conv1 = torch.nn.Conv2d(9, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n", + "# modify output classes from 1000 to 3\n", + "net.fc = torch.nn.Linear(in_features=512, out_features=3, bias=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "net_f2305 = net\n", + "net_synth = copy.deepcopy(net)\n", + "\n", + "ckpt_f2305 = \"manuscript/Diversity/classifier_logs/f2305/bs_32_lr_0.0001_transform_False/classifier_weights.ckpt\"\n", + "ckpt_f2305 = torch.load(ckpt_f2305, map_location=torch.device('cpu'))\n", + "net_f2305.load_state_dict(ckpt_f2305[\"model\"])\n", + "\n", + "ckpt_synth = \"manuscript/Diversity/classifier_logs/synth/bs_32_lr_0.0001_transform_False/classifier_weights.ckpt\"\n", + "ckpt_synth = torch.load(ckpt_synth, map_location=torch.device('cpu'))\n", + "net_synth.load_state_dict(ckpt_synth[\"model\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Load A2209" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "testdata = A2209Dataset(shape=(9, 64, 64))\n", + "testdata.prepare(label_by=\"berlin_clinical\", types=('T1',))\n", + "vu_loader_test = DataLoader(A2209Batcher(testdata.dataset, testdata.scan_path), batch_size=32, shuffle=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Metrics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "(In the following we load the predictions and labels from the checkpoint directly.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Balanced accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Trained on real: 0.8932019212673165 \n", + " Trained on synthetic: 0.8297014998649876\n" + ] + } + ], + "source": [ + "from sklearn.metrics import balanced_accuracy_score\n", + "\n", + "print(\" Trained on real:\",balanced_accuracy_score(ckpt_f2305[\"labs_vu\"], ckpt_f2305[\"preds_vu\"]), \"\\n\",\n", + "\"Trained on synthetic:\", balanced_accuracy_score(ckpt_synth[\"labs_vu\"], ckpt_synth[\"preds_vu\"]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Confusion Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import confusion_matrix\n", + "\n", + "cm_real = confusion_matrix(ckpt_f2305[\"labs_vu\"], ckpt_f2305[\"preds_vu\"])\n", + "cm_synth = confusion_matrix(ckpt_synth[\"labs_vu\"], ckpt_synth[\"preds_vu\"])\n", + "cm_real_norm = confusion_matrix(ckpt_f2305[\"labs_vu\"], ckpt_f2305[\"preds_vu\"], normalize=\"all\")\n", + "cm_synth_norm = confusion_matrix(ckpt_synth[\"labs_vu\"], ckpt_synth[\"preds_vu\"], normalize=\"all\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sn\n", + "\n", + "ax= plt.subplot()\n", + "sn.heatmap(cm_real_norm, annot=True, ax = ax, cmap=\"Greens\", cbar=False); #annot=True to annotate cells\n", + "\n", + "# labels, title and ticks\n", + "ax.set_xlabel('Predicted');ax.set_ylabel('True')\n", + "ax.set_title('Confusion Matrix for training on F2305')\n", + "ax.xaxis.set_ticklabels([\"Cervical(0)\", \"Thoracic(1)\", \"Lumbar(2)\"])\n", + "plt.yticks(np.arange(3)+0.5,(\"Cervical(0)\", \"Thoracic(1)\", \"Lumbar(2)\"), rotation=0, fontsize=\"10\", va=\"center\")\n", + "plt.savefig('../src/manuscript/Diversity/images/train_classifier_confusion.png', dpi=300, bbox='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax= plt.subplot()\n", + "sn.heatmap(cm_synth_norm, annot=True, ax = ax, cmap=\"Greens\", cbar=False); #annot=True to annotate cells\n", + "\n", + "# labels, title and ticks\n", + "ax.set_xlabel('Predicted');ax.set_ylabel('True')\n", + "ax.set_title('Confusion Matrix for training on Synthetic')\n", + "ax.xaxis.set_ticklabels([\"Cervical(0)\", \"Thoracic(1)\", \"Lumbar(2)\"])\n", + "plt.yticks(np.arange(3)+0.5,(\"Cervical(0)\", \"Thoracic(1)\", \"Lumbar(2)\"), rotation=0, fontsize=\"10\", va=\"center\")\n", + "plt.savefig('../src/manuscript/Diversity/images/synthetic_classifier_confusion.png', dpi=300, bbox='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.22584615, 0.54646154, 0.22769231])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reference\n", + "np.unique(ckpt_f2305[\"labs_vu\"], return_counts=True)[1]/np.unique(ckpt_f2305[\"labs_vu\"], return_counts=True)[1].sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ROC" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To compute the multi-class ROC we treat each classification as a binary problem. Reference: https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import roc_curve, auc\n", + "from itertools import cycle\n", + "\n", + "def plot_roc(labs, softs, include_macro=False, include_micro=False,\n", + " labels = [\"Cervical\", \"Thoracic\", \"Lumbar\"], title = \"ROC\", save_name=None):\n", + " # from https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html\n", + " \n", + " one_hot = torch.nn.functional.one_hot(labs)\n", + " n_classes = 3\n", + " lw = 2 #line width for plot\n", + "\n", + " # Compute ROC curve and ROC area for each class\n", + " fpr = dict()\n", + " tpr = dict()\n", + " roc_auc = dict()\n", + " \n", + " for i in range(n_classes):\n", + " fpr[i], tpr[i], _ = roc_curve(one_hot[:,i], softs[: ,i])\n", + " roc_auc[i] = auc(fpr[i], tpr[i])\n", + " \n", + " # Compute micro-average ROC curve and ROC area\n", + " fpr[\"micro\"], tpr[\"micro\"], _ = roc_curve(one_hot.view(-1), softs.view(-1))\n", + " roc_auc[\"micro\"] = auc(fpr[\"micro\"], tpr[\"micro\"])\n", + " \n", + " # First aggregate all false positive rates\n", + " all_fpr = np.unique(np.concatenate([fpr[i] for i in range(n_classes)]))\n", + "\n", + " # Then interpolate all ROC curves at this points\n", + " mean_tpr = np.zeros_like(all_fpr)\n", + " for i in range(n_classes):\n", + " mean_tpr += np.interp(all_fpr, fpr[i], tpr[i])\n", + "\n", + " # Finally average it and compute AUC\n", + " mean_tpr /= n_classes\n", + "\n", + " fpr[\"macro\"] = all_fpr\n", + " tpr[\"macro\"] = mean_tpr\n", + " roc_auc[\"macro\"] = auc(fpr[\"macro\"], tpr[\"macro\"])\n", + "\n", + " # Plot all ROC curves\n", + " plt.figure()\n", + " \n", + " if include_micro:\n", + " plt.plot(fpr[\"micro\"], tpr[\"micro\"],\n", + " label='micro-average ROC curve (area = {0:0.2f})'\n", + " ''.format(roc_auc[\"micro\"]),\n", + " color='deeppink', linestyle=':', linewidth=4)\n", + " if include_macro:\n", + " plt.plot(fpr[\"macro\"], tpr[\"macro\"],\n", + " label='macro-average ROC curve (area = {0:0.2f})'\n", + " ''.format(roc_auc[\"macro\"]),\n", + " color='navy', linestyle=':', linewidth=4)\n", + "\n", + " colors = cycle(['aqua', 'darkorange', 'cornflowerblue'])\n", + " for i, color in zip(range(n_classes), colors):\n", + " plt.plot(fpr[i], tpr[i], color=color, lw=lw,\n", + " label='ROC curve of class {0} (area = {1:0.2f})'\n", + " ''.format(labels[i], roc_auc[i]))\n", + "\n", + " plt.plot([0, 1], [0, 1], 'k--', lw=lw)\n", + " plt.xlim([0.0, 1.0])\n", + " plt.ylim([0.0, 1.05])\n", + " plt.xlabel('False Positive Rate')\n", + " plt.ylabel('True Positive Rate')\n", + " plt.title(title)\n", + " plt.legend(loc=\"lower right\")\n", + " if save_name is not None:\n", + " plt.savefig(save_name, dpi=300, bbox='tight')\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "save_name = '../src/manuscript/Diversity/images/synthetic_classifier_ROC.png'\n", + "plot_roc(ckpt_f2305[\"labs_vu\"],ckpt_f2305[\"softs_vu\"],include_macro=True,\n", + " title=\"ROC for training on F2305\", save_name=save_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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zn7YVueiBb5Mzn1jwAQ83akI~YH+(^(tw!7``Mbfz_y2!_@Bc?seqcy|&G~O7KVOvo Zbi>W7Q4lq@wq27!pL9G?{^#Yp{|lxpT#Wz# literal 0 HcmV?d00001 diff --git a/src/manuscript/Diversity/train_classifier.py b/src/manuscript/Diversity/train_classifier.py new file mode 100755 index 0000000..53d9d18 --- /dev/null +++ b/src/manuscript/Diversity/train_classifier.py @@ -0,0 +1,264 @@ +# pylint: disable=E1101, C0413, E0401 + +""" +In this script we train a classifier on VU locations in F2305 (T1) and on VU locations in the +synthetic dataset respectively. As the test set we use A2209 in both cases. +The synthetic dataset per default mirrors the class distribution of F2305: (cervical, thoracic, lumbar) <=> (0.25, 0.55, 0.2) and +cosinsts of 10'000 samples. +We use a multi-dimensional balanced accuracy for evaluating the performance of the network s.t. a balanced-accuracy +of 1/3 corresponds to random guessing. + +We compare both trainings by reporting in the accompanying Jupyter notebook: +* balanced accuracies +* confusion matrices +* plotting multi-class roc +* statistical significance test between performance of both classifiers +""" + +import argparse + +# ROOT +# ================================================================================================================================= +parser = argparse.ArgumentParser(description="Region classifier training", formatter_class=argparse.ArgumentDefaultsHelpFormatter) +parser.add_argument("--gpu", action="store_true", help="whether running on a gpu node") +parser.add_argument("--toy", action="store_true", help="whether to train only with 1 percent of the data") +parser.add_argument("--batch-size", type=int, default=32, help="batch size") +parser.add_argument("--num-workers", type=int, default=0, help="number of workers in torch.DataLoader") +parser.add_argument("--no-transform", action="store_true", help="no transform") +parser.add_argument("--n-epochs", type=int, default=3, help="number of epoches") +parser.add_argument("--tensorboard", action="store_true", help="to use tensorboard") +parser.add_argument("--experiment", type=str, default=None, help="mlflow experiment (default to be \"berlin\" with a time tag)") +parser.add_argument("--experiment-id", type=str, default=None, help="mlflow run name") +parser.add_argument("--no-pbar", action="store_true", help="if no progress bar showing") +parser.add_argument("--synth-train", action="store_true", help="whether to train on sythetic data") +parser.add_argument("--lr", type=float, default=1e-5, help="Learning rate") +args = parser.parse_args() +no_log_keys = ["no_pbar", "experiment", "experiment_id"] +# ================================================================================================================================= +# define parameters; import summary writer before other package imports to avoid crashes + +import os +import sys +from datetime import datetime +from torch.utils.tensorboard import SummaryWriter +import torch + +# change to root of repository +os.chdir(os.path.dirname(os.path.abspath(__file__)) + "/../../") +sys.path.insert(0, 'src') + +batch_size = args.batch_size +num_workers = args.num_workers +toy_fraction = 0.01 if args.toy else 1 +lr = args.lr +best_acc = 0 # best test accuracy + + +if args.gpu: + os.environ['CUDA_VISIBLE_DEVICES'] = '0' + device = torch.device('cuda:0') +else: + device = torch.device('cpu') + + +# ================================================================================================================================= +# define paths for logging and saving weights +if args.experiment is None: + args.experiment = datetime.now().strftime("%m%d-%H%M%S") + +log_path = "manuscript/Diversity/classifier_logs/" + ("synth/" if args.synth_train else "f2305/") +hyp_param = f"bs_{args.batch_size}_lr_{args.lr}_transform_{not args.no_transform}/" + +log_path = log_path+hyp_param +if not os.path.exists(log_path): + os.makedirs(log_path) +ckpt = log_path+"classifier_weights.ckpt" + +writer = SummaryWriter(log_dir=log_path) if args.tensorboard else None +# ================================================================================================================================= +# rest of package imports +from time import time +import numpy as np +import pandas as pd +from tqdm import tqdm +from torch.utils.data import Dataset, DataLoader +from glob import glob +from sklearn.metrics import balanced_accuracy_score +import mlflow +from mlflow.pytorch import log_model +import torch.nn as nn +import torch.optim as optim +import torchvision + +from manuscript.Train.restricted.train_dataset import F2305Dataset +from manuscript.Train.restricted.test_dataset import A2209Dataset +from manuscript.Train.restricted.synthetic_dataset import SynthDataset +from manuscript.Train.batchers import F2305Batcher, A2209Batcher, SynthBatcher + +# ================================================================================================================================= +# Training data +image_shape = (9, 64, 64) +transform = None + +if not args.synth_train: + print("Training using F2305...") + traindata = F2305Dataset(shape=image_shape) + print(f"Reading from {traindata.save_path}...") + traindata.prepare(label_by="reader2", types=('T1',), subset_fraction=toy_fraction) + + vu_loader = DataLoader(F2305Batcher(traindata.dataset, traindata.scan_path, + transform=(None if args.no_transform else transform)), + batch_size=batch_size, shuffle=True, num_workers=num_workers) + +else: + print("Training using synthetic dataset...") + traindata = SynthDataset() + print(f"Reading from {traindata.scan_path}...") + + vu_loader = DataLoader(SynthBatcher(traindata.dataset, traindata.scan_path, + transform=(None if args.no_transform else transform)), + batch_size=batch_size, shuffle=True, num_workers=num_workers) + +# ================================================================================================================================= +# Test data +testdata = A2209Dataset(shape=image_shape) +testdata.prepare(types=('T1',), subset_fraction=toy_fraction) + +vu_loader_test = DataLoader(A2209Batcher(testdata.dataset, testdata.scan_path), batch_size=batch_size, shuffle=False, num_workers=num_workers) + +# ================================================================================================================================= +# Classifier + +net = torchvision.models.resnet18(pretrained=False) +# modify input layer from 3 to 9 channels +net.conv1 = nn.Conv2d(9, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) +# modify output classes from 1000 to 3 +net.fc = nn.Linear(in_features=512, out_features=3, bias=True) + +net.to(device) + +criterion_vu = nn.CrossEntropyLoss() +optimizer = optim.SGD(net.parameters(), lr=lr, momentum=0.9) + + +# evaluation +def balanced_accuracy(y_label, y_pred): + # # Move to cpu + y_pred = np.array(y_pred.cpu(), dtype=float) + y_label = np.array(y_label.cpu(), dtype=float) + # Delete ignore_index = -1 + y_pred = np.delete(y_pred, np.where(y_label == -1)) + y_label = np.delete(y_label, np.where(y_label == -1)) + return balanced_accuracy_score(y_label, y_pred) + +def log_scalars(keys, values, step): + for _k, _v in zip(keys, values): + if args.tensorboard: + writer.add_scalar(_k, _v, step) + mlflow.log_metric(_k, _v, step=step) + +# ================================================================================================================================= +# training routine +def train(train_loader, test_loader, step, current_acc): + + Loss = 0 + preds_vu = torch.Tensor().to(device).long() + labs_vu = torch.Tensor().to(device).long() + + start_time_epoch = time() + for sample in tqdm(vu_loader, disable=args.no_pbar): + sample['im'] = sample['im'].to(device).squeeze(1) + sample['region'] = sample['region'].to(device).long() + + net_output = net(sample['im']) # forward + backward + optimize + loss = criterion_vu(net_output, sample['region']) + + optimizer.zero_grad() + loss.backward() + optimizer.step() + + # accumulate loss + Loss += loss.item() + + # save prediction and labels + _, pred_vu = net_output.max(1) + preds_vu = torch.cat((preds_vu, pred_vu), 0) + labs_vu = torch.cat((labs_vu, sample['region']), 0) + + # evaluation + acc_vu = balanced_accuracy(labs_vu, preds_vu) + Loss /= len(vu_loader) + + end_time_epoch = time() + temp_str = f'Train - loss={Loss:.4f}; acc_vu={acc_vu:.4f}, time: {end_time_epoch-start_time_epoch}' + print(temp_str) + + log_scalars([f"train_{s}" for s in ['loss', 'acc_vu']], [Loss, acc_vu], step) + + Loss = 0 + + preds_vu = torch.Tensor().to(device).long() + labs_vu = torch.Tensor().to(device).long() + softs_vu = torch.Tensor().to(device).long() + + start_time_epoch = time() + for sample_test in tqdm(vu_loader_test, disable=args.no_pbar): + with torch.no_grad(): + sample_test['im'] = sample_test['im'].to(device) + sample_test['region'] = sample_test['region'].to(device).long() + + net_output = net(sample_test['im']) # forward + backward + optimize + loss_vu_test = criterion_vu(net_output, sample_test['region']) + loss_test = loss_vu_test + + # accumulate loss + Loss += loss_test.item() + + # save prediction and labels + _, pred_vu = net_output.max(1) + soft_vu = net_output.softmax(dim=1) + + preds_vu = torch.cat((preds_vu, pred_vu), 0) + softs_vu = torch.cat((softs_vu, soft_vu), 0) + labs_vu = torch.cat((labs_vu, sample_test['region']), 0) + + end_time_epoch = time() + + # evaluation + acc_vu = balanced_accuracy(labs_vu, preds_vu) + Loss /= len(vu_loader_test) + + temp_str = f'Test - loss={Loss:.4f}; acc_vu={acc_vu:.4f}, time: {end_time_epoch-start_time_epoch}' + print(temp_str) + + log_scalars([f"test_{s}" for s in ['loss', 'acc_vu']], [Loss, acc_vu], step) + + # Save checkpoint based on val + if acc_vu > current_acc: + torch.save({'model': net.state_dict(), 'acc_vu': acc_vu, "preds_vu": preds_vu, "softs_vu": softs_vu, "labs_vu": labs_vu, 'epoch': step}, ckpt) + current_acc = acc_vu + + return current_acc + +# ================================================================================================================================= +# training and logging + +mlflow.set_experiment(args.experiment) + + +with mlflow.start_run(run_name=args.experiment_id): + for _k, _v in vars(args).items(): + if _k not in no_log_keys: + mlflow.log_param(_k, _v) + + start_time = time() + for epoch in tqdm(range(args.n_epochs), desc="epochs", disable=args.no_pbar): + best_acc = train(vu_loader, vu_loader_test, epoch, best_acc) + mlflow.log_metric("duration", time() - start_time) + + if args.tensorboard: + print("Uploading TensorBoard events as a run artifact...") + mlflow.log_artifacts(log_path) + + log_model(net, "model") + mlflow.end_run() diff --git a/src/manuscript/Fidelity/1_images_qualitative_inspection.ipynb b/src/manuscript/Fidelity/1_images_qualitative_inspection.ipynb new file mode 100644 index 0000000..7592c09 --- /dev/null +++ b/src/manuscript/Fidelity/1_images_qualitative_inspection.ipynb @@ -0,0 +1,354 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Comparing real and synthetic images on perceptual quality\n", + "Generating and showing grid of real and synthetic images\n", + "Interpolation of synthetic images through the latent space. Generating a synthetic image of a cervical VU and interpolating the same VU into thoracic and lumbar." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Global import\n", + "import sys\n", + "import os\n", + "import torch\n", + "import re\n", + "import random\n", + "import cv2\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from torch.nn.functional import interpolate\n", + "from torch.utils.data import Dataset, DataLoader\n", + "from torchvision.utils import make_grid, save_image\n", + "from tqdm.notebook import tqdm\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============ Demo information ============\n", + "- Working directory: /home/plawija1/BDI-imaging/src\n", + "- Cuda device: cpu\n", + "==========================================\n" + ] + } + ], + "source": [ + "# Local import\n", + "from helpers.utils import GanMorphing\n", + "\n", + "gpu = torch.cuda.is_available()\n", + "if gpu:\n", + " os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n", + " device = torch.device('cuda:0')\n", + "else:\n", + " device = torch.device('cpu')\n", + "\n", + "if os.path.basename(os.getcwd()) != 'BDI-imaging': # change dir to ROOT\n", + " os.chdir(\"../../\")\n", + "sys.path.insert(0, \"src\")\n", + "\n", + "print('============ Demo information ============')\n", + "print('- Working directory: {}'.format(os.getcwd()))\n", + "print('- Cuda device: {}'.format(device))\n", + "print('==========================================')\n", + "\n", + "# Setup\n", + "OUT_DIR = './manuscript/Fidelity/images'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Batcher and datasets\n", + "from manuscript.Train.restricted.train_dataset import F2305Dataset, spineNet_split\n", + "from manuscript.Train.restricted.synthetic_dataset import SynthDataset\n", + "from manuscript.Train.batchers import F2305Batcher, A2209Batcher, SynthBatcher\n", + "\n", + "# Architecture\n", + "from manuscript.Train.fixed_architecture import Generator, Discriminator" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "feature_dim = 100\n", + "# VU shape\n", + "image_shape = (9, 64, 64)\n", + "net_size = 128\n", + "\n", + "netG = Generator(feature_dim=feature_dim, nc=image_shape[0], num_classes_region=3,\n", + " net_size=net_size, batch_norm=False)\n", + "netG.to(device)\n", + "weights = torch.load(\"./manuscript/Train/restricted/fixed_weights.pt\",\n", + " map_location=torch.device('cpu'))['netG']\n", + "netG.load_state_dict(weights)\n", + "\n", + "# Instanciate class\n", + "gan = GanMorphing(netG, seed = None) # Reproducibility" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Loading training data as real example" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training using F2305...\n", + "Reading from /home/plawija1/BDI-imaging/local_data/...\n" + ] + } + ], + "source": [ + "batch_size=1\n", + "image_list = spineNet_split()['train']\n", + "print(\"Training using F2305...\")\n", + "traindata_f = F2305Dataset(shape=image_shape)\n", + "print(f\"Reading from {traindata_f.save_path}...\")\n", + "traindata_f.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_f = DataLoader(F2305Batcher(traindata_f.dataset, traindata_f.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7827fdf614e2473c9612f9dc8066a541", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "max_length = 1000\n", + "train_dataset = np.zeros([max_length, 9, 64, 64])\n", + "train_regions = np.zeros([max_length, 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_f)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " train_dataset[index,:,:,:] = im\n", + " train_regions[index,:] = region\n", + " if index == max_length-1:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Selecting real images based on region\n", + "\n", + "# Selecting Cervical VUs\n", + "regions = (train_regions == 0)\n", + "temp_length = len(train_regions[train_regions == 0])\n", + "regions = regions.reshape(1000, 1, 1, 1)\n", + "bool_C = np.tile(regions, [1, 9, 64, 64])\n", + "C_real = train_dataset[bool_C].reshape(temp_length, 9, 64, 64)\n", + "\n", + "# Selecting Thoracic VUs\n", + "regions = (train_regions == 1)\n", + "temp_length = len(train_regions[train_regions == 1])\n", + "regions = regions.reshape(1000, 1, 1, 1)\n", + "bool_T = np.tile(regions, [1, 9, 64, 64])\n", + "T_real = train_dataset[bool_T].reshape(temp_length, 9, 64, 64)\n", + "\n", + "# Selecting Lumbar VUs\n", + "regions = (train_regions == 2)\n", + "temp_length = len(train_regions[train_regions == 2])\n", + "regions = regions.reshape(1000, 1, 1, 1)\n", + "bool_L = np.tile(regions, [1, 9, 64, 64])\n", + "L_real = train_dataset[bool_L].reshape(temp_length, 9, 64, 64)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "def sample_real_VU(C_real, T_real, L_real, n_samples=2):\n", + " grid_images = np.concatenate((np.random.permutation(C_real)[:2,:,:,:],\n", + " np.random.permutation(T_real)[:2,:,:,:],\n", + " np.random.permutation(L_real)[:2,:,:,:]), axis=0)\n", + " return grid_images" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Real image grid:\n", + "grid = sample_real_VU(C_real, T_real, L_real)\n", + "grid = grid.reshape(6*9,1,64,64)\n", + "grid = make_grid(torch.tensor(grid), nrow=9, normalize=True, padding=1, pad_value=0)\n", + "plt.figure(figsize=(20, 20))\n", + "plt.imshow(grid.permute(1, 2, 0))\n", + "plt.axis('off')\n", + "plt.savefig('./manuscript/Fidelity/images/real_images_grid.png', dpi=300, bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Synthetic image grid:\n", + "# The synthetic images are generated using the gan wrapper\n", + "fake_samples = gan.get_fakes(n=2)\n", + "grid = make_grid(torch.tensor(fake_samples), nrow=9, normalize=True, padding=1, pad_value=0)\n", + "plt.figure(figsize=(20, 20))\n", + "plt.imshow(grid.permute(1, 2, 0))\n", + "plt.axis('off')\n", + "plt.savefig('./manuscript/Fidelity/images/synthetic_images_grid.png', dpi=300, bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Morphing image through vertebra location\n", + "# The interpolation generated using the gan wrapper\n", + "morphing = gan.morphing(steps=3)\n", + "grid = make_grid(torch.tensor(morphing), nrow=9, normalize=True, padding=1, pad_value=0)\n", + "plt.figure(figsize=(20, 20))\n", + "plt.imshow(grid.permute(1, 2, 0), vmin=0, vmax=1)\n", + "plt.axis('off')\n", + "plt.savefig('./manuscript/Fidelity/images/interpolation_grid.png', dpi=300, bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Fidelity/helpers/utils.py b/src/manuscript/Fidelity/helpers/utils.py new file mode 100644 index 0000000..61a9792 --- /dev/null +++ b/src/manuscript/Fidelity/helpers/utils.py @@ -0,0 +1,120 @@ +# Global packages +import os +import torch +import numpy as np +import cv2 +import random +from torch.nn.functional import interpolate +from typing import Tuple, Dict +from torchvision.utils import make_grid, save_image +import matplotlib.pyplot as plt + +class GanMorphing(): + + def __init__(self, netG, seed: int = None): + self.netG = netG + self.regions = {'c': 0, 't': 1, 'l': 2} + self.seed = seed + + # ========================================================================= + # >>> Core functions <<< + # ========================================================================= + + def gen_image(self, z: torch.Tensor, size: tuple = (64, 64)) -> torch.Tensor: + ''' Generate image from given latent variable and postprocess it ''' + return interpolate(self.netG(z), size=size, mode='bicubic').detach() + + def get_z(self, source: str = 'c') -> torch.Tensor: + source = source.lower() + assert source in self.regions, "Error: target not in ['c', 't', 'l']" + return self.netG.noise_gen(1, region_fill=self.regions[source])[-1].detach() + + # ========================================================================= + # >>> Get synthetic - FIGURE 1 <<< + # ========================================================================= + + def get_fakes(self, n: int = 1) -> torch.Tensor: + + if self.seed is not None: + torch.manual_seed(self.seed) + tmp = [] + for key in self.regions: + for _ in range(n): + z = self.get_z(source=key) + tmp.append(self.gen_image(z).squeeze(0)) + + return torch.cat(tmp, axis=0).unsqueeze(1) # batch*slize, 1, H, W + + # ========================================================================= + # >>> Morph C -> T -> L - FIGURE 2 <<< + # ========================================================================= + + def morphing(self, steps: int = 3): + + if self.seed is not None: + torch.manual_seed(self.seed) + + # 1st morphing: cervical -> thoracic + stacks_1, z_1 = self.interpolate(z=self.get_z(source='c'), + target='t', + steps=steps) + # 2nd morphing: thoracic -> lumbar + stacks_2, z_2 = self.interpolate(z=z_1[-1], + target='l', + steps=steps) + + # Concatenates stacks + stacks = torch.cat([stacks_1[:-9, :, :], stacks_2], axis=0) + # flip order, to start from cervival to lumbar + stacks = torch.flip(stacks, dims=[0, 1, 2]) + + # Concatenate the images tensors, adding grayscale channel information such as Batch*Slide, 1, H, W + return stacks.unsqueeze(1) + + def interpolate(self, z: torch.Tensor, target: str = None, z2: torch.Tensor = None, steps: int = 5) -> Tuple[torch.Tensor, torch.Tensor]: + + if z2 is None: + assert target is not None, 'Error: please define target for c_interpolation' + z_ = self.c_interpolation(z=z, steps=steps, target=target) + else: + assert z2 is not None, 'Error: please define z2 for z_interpolation' + z_ = GanMorphing.z_interpolation(z1=z, z2=z2, steps=steps) + + images = [self.gen_image(x).squeeze(0) for x in z_] + + return torch.cat(images, axis=0), z_ + + def c_interpolation(self, z: torch.Tensor, target: str = 'c', steps: int = 5) -> torch.Tensor: + ''' Interpolate the conditional class only ''' + z_list = [] + + # Checks + source = GanMorphing.get_z_target(z) + target = target.lower() + assert target in self.regions, "Error: target not in ['c', 't', 'l']" + assert source != target, 'Error, trying to interpolate for the same class' + + for i in np.linspace(0, 1, steps): + z_ = z.clone().detach() + z_[0, self.regions[source]] = (1-i) + z_[0, self.regions[target]] = i + z_list.append(z_) + + return z_list + + @staticmethod + def z_interpolation(z1: torch.Tensor, z2: torch.Tensor, steps: int = 5) -> torch.Tensor: + ''' 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zr5G2mw8d9Miq_A`SrPG4w03&Q)KWseWO6-wEUS6D&j&#>O5W~OboT`2E`xb6lO!A( zvShoBy;=U?w$U3BYbvcM-UGRsFs0Dh&2ia6V@?;OWsk-JVJw|_nyI}+D27VXm(Uh3 zs4BkTbQB)k@MQ`eX|4-jGS(Q?=UoY3H27Qxk{Nf#FdnX1nc^iUAl zQVR%UVVnP#NtcC7%M2Qg>lDo6sfdgw{^X5$0}rI)T=>)8*5i*IdH)Er`=r!V{k__AoPw!= z$9})h*17?qo!UPanA~6fFOPluyRCo6CBt9deNHVcEvdwhE6u)s_q$2emdAeMC%%65 zoBzk{{wvHUzj)$_e|nPo($BvS-OKs=U0DBPk=+0PRsR;!!|$^ZZW literal 0 HcmV?d00001 diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/1_prepare_9_64_64_pixel_space-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/1_prepare_9_64_64_pixel_space-checkpoint.ipynb new file mode 100644 index 0000000..e6bba7e --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/1_prepare_9_64_64_pixel_space-checkpoint.ipynb @@ -0,0 +1,522 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparing dataset size (9, 64, 64)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Saving dataset in reduced size (original synthetic size) for training, validation, test and synthetic\n", + "The hdf5 version of synthetic with labels is the version of data shared with the code" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import torch\n", + "import h5py\n", + "import pickle\n", + "import umap\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from torch.nn.functional import interpolate\n", + "from torch.utils.data import Dataset, DataLoader\n", + "from tqdm.notebook import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============ Demo information ============\n", + "- Working directory: /src\n", + "- Cuda device: cpu\n", + "==========================================\n" + ] + } + ], + "source": [ + "gpu = torch.cuda.is_available()\n", + "if gpu:\n", + " os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n", + " device = torch.device('cuda:0')\n", + "else:\n", + " device = torch.device('cpu')\n", + " \n", + "if os.path.basename(os.getcwd()) != 'BDI-imaging': # change dir to ROOT\n", + " os.chdir(\"../../\")\n", + "sys.path.insert(0, \"src\")\n", + " \n", + "print('============ Demo information ============')\n", + "print('- Working directory: /{}'.format(os.getcwd().split('/')[-1]))\n", + "print('- Cuda device: {}'.format(device))\n", + "print('==========================================')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# load batchers for each dataset\n", + "from manuscript.Train.restricted.train_dataset import F2305Dataset, spineNet_split\n", + "from manuscript.Train.restricted.test_dataset import A2209Dataset\n", + "from manuscript.Train.restricted.synthetic_dataset import SynthDataset\n", + "from manuscript.Train.batchers import F2305Batcher, A2209Batcher, SynthBatcher" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "image_shape = (9, 64, 64)\n", + "batch_size = 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### F2305 training fold\n", + "Reading images from the training set with the batcher and saving them as a hdf5 file with labels. Splitting F2305 into train and validation." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['train']\n", + "print(\"Training using F2305...\")\n", + "traindata_f = F2305Dataset(shape=image_shape)\n", + "traindata_f.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_f = DataLoader(F2305Batcher(traindata_f.dataset, traindata_f.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "591c31bd023342ea8e89c257c0327b3b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "train_dataset = np.zeros([len(vu_loader_f), 9, 64, 64])\n", + "train_region = np.zeros([len(vu_loader_f), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_f)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " train_dataset[index,:,:,:] = im\n", + " train_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/train_set.h5', 'w')\n", + "h5f.create_dataset('images', data=train_dataset)\n", + "h5f.create_dataset('regions', data=train_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Val" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### F2305 validation fold\n", + "Reading images from the training set with the batcher and saving them as a hdf5 file with labels.\n", + "Selecting validation and test folds from prior work. There is no overlap between patient present in each fold. Validation set has no images from patients in the training set" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Val using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['val'] + spineNet_split()['test']\n", + "print(\"Val using F2305...\")\n", + "valdata = F2305Dataset(shape=image_shape)\n", + "valdata.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_val = DataLoader(F2305Batcher(valdata.dataset, valdata.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "26cc176365c2498fa5aed364d2d34b3f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "val_dataset = np.zeros([len(vu_loader_val), 9, 64, 64])\n", + "val_region = np.zeros([len(vu_loader_val), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_val)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " val_dataset[index,:,:,:] = im\n", + " val_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/val_set.h5', 'w')\n", + "h5f.create_dataset('images', data=val_dataset)\n", + "h5f.create_dataset('regions', data=val_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Full A2209 dataset as test set\n", + "Reading images from A2209 using the batcher and saving them with labels in a hdf5 format" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test using A2209...\n" + ] + } + ], + "source": [ + "testdata = A2209Dataset(shape=image_shape)\n", + "print(\"Test using A2209...\")\n", + "testdata.prepare(label_by=\"berlin_clinical\", types=('T1',), subset_fraction=1.0)\n", + "\n", + "vu_loader_test = DataLoader(A2209Batcher(testdata.dataset, testdata.scan_path), batch_size=batch_size, \n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ddcde14884a3413a87a553ede8c7bdb8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "test_dataset = np.zeros([len(vu_loader_test), 9, 64, 64])\n", + "test_region = np.zeros([len(vu_loader_test), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_test)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " test_dataset[index,:,:,:] = im\n", + " test_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/test_set.h5', 'w')\n", + "h5f.create_dataset('images', data=test_dataset)\n", + "h5f.create_dataset('regions', data=test_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Synth" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Synthetic dataset\n", + "Reading images from genrated synthetic dataset using the batcher and saving them with labels in a hdf5 format" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Synth dataset...\n" + ] + } + ], + "source": [ + "print(\"Synth dataset...\")\n", + "traindata_synth = SynthDataset()\n", + "\n", + "vu_loader_synth = DataLoader(SynthBatcher(traindata_synth.dataset, traindata_synth.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "synth_dataset = np.zeros([len(vu_loader_synth), 9, 64, 64])\n", + "synth_region = np.zeros([len(vu_loader_synth), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_synth)):\n", + " im = sample['im']\n", + " im = interpolate(im, size=image_shape[1:], mode='bicubic')\n", + " region = sample['region']\n", + " synth_dataset[index,:,:,:] = im\n", + " synth_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/synth_set.h5', 'w')\n", + "h5f.create_dataset('images', data=synth_dataset)\n", + "h5f.create_dataset('regions', data=synth_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Candidate dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We simulate an attack on the synthetic dataset, for this purpose we create a \"candidate dataset\", this dataset is composed of 334 images from the training set (F2305 used in GAN training), 333 from the validation dataset (F2305 not used in GAN training) and 333 from the testing dataset (A2209 not used in training).\n", + "The goal is to assess if it is to tell if a candidate sample comes from the training set when compared with the synthetic data." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# 334 samples from the training set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/train_set.h5', 'r')\n", + "candidate_train = h5f['images'][-334:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# 333 samples from the validation set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/val_set.h5', 'r')\n", + "candidate_val = h5f['images'][-333:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# 333 samples from the test set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/test_set.h5', 'r')\n", + "candidate_test = h5f['images'][-333:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# Concatenate and save\n", + "candidate = np.concatenate((candidate_train, candidate_val, candidate_test))\n", + "np.save('./manuscript/Privacy/privacy_saves/candidate.npy', candidate)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "candidate = np.load('./manuscript/Privacy/privacy_saves/candidate.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/2_UMAP_64_64-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/2_UMAP_64_64-checkpoint.ipynb new file mode 100644 index 0000000..c6e04f6 --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/2_UMAP_64_64-checkpoint.ipynb @@ -0,0 +1,256 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UMAP projection (9, 64, 64)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We examine if the synthetic is privacy preserving both in pixel space and in feature space. In this notebook we create the feature extractor (a UMAP transform reducing to 32 principal components) and apply it to the relevant images in order to obtain their corresponding features." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from torch.utils.data import Dataset, DataLoader\n", + "from tqdm.notebook import tqdm\n", + "from sklearn.metrics import confusion_matrix\n", + "import h5py\n", + "import pickle\n", + "import umap\n", + "import numpy as np\n", + "from scipy.spatial.distance import cdist" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "candidate = np.load('./privacy_saves/candidate.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/synth_set.h5', 'r')\n", + "synth_set = h5f['images'][:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "test_set = h5f['images'][-1000:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Train UMAP\n", + "Optionnal can be skipped to load a pre-trained umap. This step usually takes around 30 minutes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "temp_test = h5f['images'][333:1333]\n", + "temp_test = np.array(test_set.reshape([len(temp_test), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/val_set.h5', 'r')\n", + "temp_val = h5f['images'][333:1833]\n", + "temp_val = np.array(test_set.reshape([len(temp_val), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/val_set.h5', 'r')\n", + "temp_train = h5f['images'][1000:3500]\n", + "temp_train = np.array(test_set.reshape([len(temp_train), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "umap_dataset = np.concatenate((temp_test, temp_val, temp_train))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Training UMAP\n", + "# Umap projects into \n", + "trans = umap.UMAP(n_neighbors=20, random_state=10, min_dist = 0.0,\n", + " n_components=32).fit(umap_dataset.reshape([5000, 9*64*64]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "f_name = './privacy_saves/umap_privacy_5000.sav'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load UMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "f_name = './privacy_saves/umap_privacy_5000.sav'\n", + "loaded_model = pickle.load((open(f_name, 'rb')))\n", + "print(type(loaded_model))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transform with UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform Test with UMAP\n", + "Used as a reference features in embedding space (since test samples can help define the notion of outliers). Only used in supplemental figure in notebook 4_plot_membership_attacks.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "test_umap = loaded_model.transform(test_set.reshape([len(test_set), 9*64*64]))\n", + "np.save('./privacy_saves/u_test.npy', test_umap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform synth with UMAP\n", + "Synthetic images to feature space. Used in all privacy attacks that happend in feature space.
\n", + "Please note that this step takes a very long time because the synthetic dataset is very large." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "synth_umap = loaded_model.transform(synth_set.reshape([len(synth_set), 9*64*64]))\n", + "np.save('./privacy_saves/u_synth.npy', synth_umap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform candidate with UMAP\n", + "Candidates images projected to feature space. Used in all privacy attacks that happend in feature space. If a candidate that originated from training shares the same features as one or many synthetic samples and can easily be identified as such, then it can be considered as privacy threatening." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "candidate_umap = loaded_model.transform(candidate.reshape([len(candidate), 9*64*64]))\n", + "np.save('./privacy_saves/u_candidate.npy', candidate_umap)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "fda-env torchvision", + "language": "python", + "name": "fda-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/3_compute_distances-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/3_compute_distances-checkpoint.ipynb new file mode 100644 index 0000000..be70684 --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/3_compute_distances-checkpoint.ipynb @@ -0,0 +1,227 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Computing distances\n", + "\n", + "Preprocessing and computing distances for pairwise attacks. Distances are calculated both in pixel and feature space" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.lines import Line2D\n", + "import umap\n", + "import h5py\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import gaussian_kde" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "#Loading synthetic, candidate and test set\n", + "candidate = np.load('./privacy_saves/candidate.npy')\n", + "candidate_flat = candidate.reshape([len(candidate), 9*64*64])\n", + "\n", + "h5f = h5py.File('./privacy_saves/synth_set.h5', 'r')\n", + "synth_set = h5f['images'][:]\n", + "synth_set = np.array(synth_set.reshape([len(synth_set), 9*64*64]))\n", + "h5f.close()\n", + "\n", + "# Only used in supplemental as a reference for distances\n", + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "test_set = h5f['images'][:]\n", + "test_set = np.array(test_set.reshape([len(test_set), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space L2 distance between candidate and synthetic" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "adf936e15cc54f1da94b4ade3b7f7d4d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "L2_dist = np.zeros([len(candidate_flat), len(synth_set)])\n", + "\n", + "# We split the data into 20 chunks and compute distances per chunk to track progress with tqdm \n", + "# with synth_set of len 10'000\n", + "for split in tqdm(range(20)):\n", + " curr_dist = cdist(candidate_flat,\n", + " synth_set[split*500:(split+1)*500])\n", + " L2_dist[:, split*500:(split+1)*500] = curr_dist\n", + " \n", + "dist_candidate = (L2_dist.min(axis=1))/np.median(L2_dist, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space L2 distance between test (1000 samples) and synthetic, only used in supplemental as reference distance" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e3828a1c863643408dc4d201998c03df", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "L2_test_dist = np.zeros([1000, 10000])\n", + "\n", + "# We split the data into 20 chunks and compute distances per chunk to track progress with tqdm \n", + "# with synth_set of len 10'000\n", + "for split in tqdm(range(10)):\n", + " curr_dist = cdist(test_set[:1000].reshape([1000, 36864]),\n", + " synth_set[split*1000:(split+1)*1000])\n", + " L2_test_dist[:, split*1000:(split+1)*1000] = curr_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "np.save('./privacy_saves/L2_candidate_syth.npy', L2_dist)\n", + "np.save('./privacy_saves/L2_test_synth.npy', L2_test_dist)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature distance" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# Load feature space data\n", + "u_candidate = np.load('./privacy_saves/u_candidate.npy', allow_pickle=True)\n", + "u_synth = np.load('./privacy_saves/u_synth.npy', allow_pickle=True)\n", + "u_test = np.load('./privacy_saves/u_test.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Compute distances\n", + "# Candidate-synthetic\n", + "umap_dist_candidate_synth = cdist(u_candidate, u_synth[:])\n", + "# Test-synthetic\n", + "umap_dist_test_synth = cdist(u_test[:1000], u_synth[:])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "np.save('./privacy_saves/umap_dist_candidate_synth.npy', umap_dist_candidate_synth)\n", + "np.save('./privacy_saves/umap_dist_test_synth.npy', umap_dist_test_synth)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/4_plot_pairwise_attacks-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/4_plot_pairwise_attacks-checkpoint.ipynb new file mode 100644 index 0000000..ce1143c --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/4_plot_pairwise_attacks-checkpoint.ipynb @@ -0,0 +1,858 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pairwise attacks analysis and visualization\n", + "With pairwise attacks we check if it is possible to trace back an image from the candidate dataset back to the training set by finding a very similar image in the synthetic set.
\n", + "We run the analysis by looking at the most similar pairs between candidate and synthetic samples and assess if this similarity is a strong enough parameter for reliably identifying training samples." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.lines import Line2D\n", + "import umap\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import gaussian_kde\n", + "from sklearn.metrics import roc_curve, auc" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Loading data" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading pixel space distances\n", + "L2_dist = np.load('./privacy_saves/L2_candidate_syth.npy', allow_pickle=True)\n", + "L2_dist_test = np.load('./privacy_saves/L2_test_synth.npy', allow_pickle=True)\n", + "norm_L2_dist = (L2_dist.min(axis=1))/np.median(L2_dist, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading feature space distances\n", + "umap_dist_candidate_synth = np.load('./privacy_saves/umap_dist_candidate_synth.npy', allow_pickle=True)\n", + "umap_dist_test_synth = np.load('./privacy_saves/umap_dist_test_synth.npy', allow_pickle=True)\n", + "norm_umap_dist = (umap_dist_candidate_synth.min(axis=1))/np.median(umap_dist_candidate_synth, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a and b represent training samples; c represents validation; d represents testing samples\n", + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=4, nrows=1, figsize=(18, 3))\n", + "\n", + "# 1st figure is histogram of the distances of the toy distribution\n", + "# This represents a privacy threatening case \n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[0].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "ax[0].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# 2nd figure is histogram of the toy distribution with subdistribution based on the origins of samples overlayed on top\n", + "# This represents a privacy threatening case \n", + "\n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[1].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# 3rd figure is histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# with subdistribution based on the origins of samples overlayed on top\n", + "\n", + "hand_bins = np.linspace(0.5,0.95,30)\n", + "kde_lag = np.linspace(0.5,0.95,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[2].hist(norm_L2_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_L2_dist[:334], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_L2_dist[334:667], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_L2_dist[667:], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[2].set_xlabel('Min distance')\n", + "\n", + "\n", + "###########\n", + "# 3rd figure is histogram of the observed distribution of the closest pairs based on similarity in feature space\n", + "# (L2 dist on features) with subdistribution based on the origins of samples overlayed on top\n", + "\n", + "hand_bins = np.linspace(0,0.5,30)\n", + "kde_lag = np.linspace(0,0.5,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[3].hist(norm_umap_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_umap_dist[:334], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0', label='candidates from train')\n", + "density_2 = gaussian_kde(norm_umap_dist[334:667], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1', label='candidates from val')\n", + "density_3 = gaussian_kde(norm_umap_dist[667:], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2', label='candidates from test')\n", + "ax[3].set_xlabel('Min distance')\n", + "\n", + "fig.legend(loc='upper right', bbox_to_anchor=(0.91,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "plt.savefig('./images/privacy_distance_top.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Supplemental" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Histograms with reference" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a and b represent training samples; c represents validation; d represents testing samples\n", + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=3, nrows=2, figsize=(15, 6))\n", + "\n", + "# (Row 1, Col 1) figure is histogram of the toy distribution with \n", + "# subdistribution based on the origins of samples overlayed on top. This represents a privacy threatening case\n", + "\n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[0, 0].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 0].set_xlabel('Min distance as ratio of the median')\n", + "\n", + "###########\n", + "# (Row 1, Col 2) histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0.5,0.95,30)\n", + "kde_lag = np.linspace(0.5,0.95,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[0, 1].hist(norm_L2_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_L2_dist[:334], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_L2_dist[334:667], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_L2_dist[667:], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 1].set_xlabel('Min L2 distance as ratio of the median')\n", + "\n", + "\n", + "###########\n", + "# (Row 1, Col 3) histogram of the observed distribution of the closest pairs based on similarity in feature space \n", + "# (L2 dist on features); subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0,0.5,30)\n", + "kde_lag = np.linspace(0,0.5,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[0, 2].hist(norm_umap_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_umap_dist[:334], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_umap_dist[334:667], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_umap_dist[667:], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 2].set_xlabel('Min distance as ratio of the median')\n", + "\n", + "\n", + "###########\n", + "# (Row 2, Col 1) figure is histogram of the toy distribution.\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# subdistribution based on the origins of samples overlayed on top. This represents a privacy threatening case\n", + "\n", + "a = (np.random.gamma(shape= 5, scale=0.75,size=450)+7)*2\n", + "b = (np.random.gamma(shape= 4, scale=1,size=50)+13)*2.1\n", + "c = (np.random.gamma(shape= 4, scale=1,size=500)+13)*2.1\n", + "d = (np.random.gamma(shape= 4, scale=1,size=500)+13)*2.3\n", + "\n", + "e = (np.random.gamma(shape= 4, scale=1,size=500)+12.9)*2.34\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "\n", + "hand_bins = np.linspace(9,50,25)\n", + "kde_lag = np.linspace(9,50,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 0].hist(simulated_distribution, color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "ax[1, 0].hist(e, color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1, 0].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# (Row 1, Col 2) histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(9,50,25)\n", + "kde_lag = np.linspace(9,50,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 1].hist(L2_dist[:].min(axis=1), color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "ax[1, 1].hist(L2_dist_test[:].min(axis=1), color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(L2_dist[:334].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(L2_dist[334:667].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(L2_dist[667:].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1, 1].set_xlabel('Min L2 distance')\n", + "\n", + "\n", + "\n", + "###########\n", + "# (Row 1, Col 3) histogram of the observed distribution of the closest pairs based on similarity in feature space\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# (L2 dist on features); subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0,1.10,30)\n", + "kde_lag = np.linspace(0,1.10,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 2].hist(umap_dist_candidate_synth[:].min(axis=1), color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled', label='distance candidate-synthetic')\n", + "ax[1, 2].hist(umap_dist_test_synth[:].min(axis=1), color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled', label='distance test-synthetic')\n", + "\n", + "density_1 = gaussian_kde(umap_dist_candidate_synth[:334].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0', label='candidates from train')\n", + "density_2 = gaussian_kde(umap_dist_candidate_synth[334:667].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1', label='candidates from val')\n", + "density_3 = gaussian_kde(umap_dist_candidate_synth[667:].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2', label='candidates from test')\n", + "ax[1, 2].set_xlabel('Min embedding distance')\n", + "fig.legend(loc='upper right', bbox_to_anchor=(0.97,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "plt.savefig('./images/privacy_distance.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Redefine simulated distribution\n", + "For supplemental figure subplot 2nd row, 1st column, simulated distribution is tweaked to match the range of observed values. We rectify that to match the main plot." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Anomaly detection Cut off\n", + "Quantitative analysis of information from training carried over into the synthetic dataset.
\n", + "We define a threshold (cut off) based on distances/similarity after which the samples are considered outliers. We then compare the proportion of these outliers coming from train/validation/test.
\n", + "Privacy threatening is when most of the outliers come from train." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred(dist, cut_off=100):\n", + " '''For run classification for the top N (cut off) smallest distances\n", + " 'dist' are the distances from candidates (either L2 in pixel or L2 in feature space)\n", + " First 334 indexes of candidates distances are training, next 333 are val, final 333 are test\n", + " After sorting we look at the original index to classify based on distance\n", + " Returns the proportion of training vs validation + training and proportion of training vs test + training'''\n", + " \n", + " ind_sort_dist = np.argsort(dist)[:cut_off]\n", + " pred_train = ind_sort_dist[ind_sort_dist<334]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<334)]\n", + " pred_val = temp[temp<667]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<667)]\n", + " pred_test = temp[temp<1001]\n", + " \n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return len(pred_train)/(len(pred_val)+len(pred_train)), len(pred_train)/(len(pred_test)+len(pred_train)), percent" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred_custom(dist, cut_off=100):\n", + " '''Same as origin_pred expect it works for the toy/simulated privacy threatening dataset\n", + " 500 first distances are from training, 500 next are val and last 500 are test'''\n", + " ind_sort_dist = np.argsort(dist)[:cut_off]\n", + " pred_train = ind_sort_dist[ind_sort_dist<500]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<500)]\n", + " pred_val = temp[temp<1000]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<1000)]\n", + " pred_test = temp[temp<1501]\n", + "\n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return len(pred_train)/(len(pred_val)+len(pred_train)), len(pred_train)/(len(pred_test)+len(pred_train)), percent" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# Cut off for printing intermediate results\n", + "cut_off = 333" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.83\n", + "train 0.48, val 0.43, test 0.09\n" + ] + } + ], + "source": [ + "# Classify for pixel space (val and test)\n", + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(norm_L2_dist, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot for anomaly detection in pixel space (native L2 distance)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('L2 distance')\n", + "plt.savefig('./images/supp/Supp_L2_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.69\n", + "train 0.43, val 0.38, test 0.19\n" + ] + } + ], + "source": [ + "# Classify for feature space (val and test)\n", + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(norm_umap_dist, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + " \n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot for anomaly detection in feature space\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Umap distance')\n", + "plt.savefig('./images/supp/Supp_umap_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 1.00\n", + "test 1.00\n", + "train 1.00, val 0.00, test 0.00\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 1499):\n", + " val, test, percent = origin_pred_custom(simulated_distribution, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + " \n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('toy threatening')\n", + "plt.savefig('./images/supp/Supp_threatening_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ROC curve\n", + "Classifying based on distance (low distance being resulting in predicting a training sample is considered a True positive)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom(dist_list):\n", + " '''Compute roc curve for candidate in pixel and feature space'''\n", + " \n", + " # Getting labels based on origin from candidate dataset\n", + " train_list = dist_list[:334]\n", + " val_list = dist_list[334:667]\n", + " test_list = dist_list[667:]\n", + " \n", + " # Running normalization on the distance to get values between 0 and 1\n", + " # normalize val vs train\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " norm_val = 1 - norm_val\n", + " \n", + " # normalize test vs train\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " norm_test = 1 - norm_test\n", + " \n", + " # define positive and negative labels\n", + " # ealier samples are always training so labeled as positive\n", + " labels = np.concatenate((np.ones([334]), np.zeros([333])))\n", + " \n", + " # Get false positve and true positive rate\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom_simul(dist_list):\n", + " '''Compute roc curve for Toy example\n", + " Only difference is the sample size being on 1500 points instead of 1000\n", + " refer to roc_custom for details'''\n", + " train_list = dist_list[:500]\n", + " val_list = dist_list[500:1000]\n", + " test_list = dist_list[1000:]\n", + "\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " norm_val = 1 - norm_val\n", + "\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " norm_test = 1 - norm_test\n", + "\n", + " labels = np.concatenate((np.ones([500]), np.zeros([500])))\n", + "\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "# Run roc curve for pixel space and feature space\n", + "fpr_val, tpr_val, fpr_test, tpr_test = roc_custom(norm_L2_dist)\n", + "fpr_umap_val, tpr_umap_val, fpr_umap_test, tpr_umap_test = roc_custom(norm_umap_dist)\n", + "# Run custom for simulated distribution\n", + "fpr_val_simul, tpr_val_simul, fpr_test_simul, tpr_test_simul = roc_custom_simul(simulated_distribution)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot ROC curve for Pixel space (Native L2)\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_val, tpr_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_test, tpr_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_L2_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot ROC curve for Feature space (Embedding with umap)\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_umap_val, tpr_umap_val, color='C1', lw=2, label='umap val')\n", + "plt.plot(fpr_umap_test, tpr_umap_test, color='C2', lw=2, label='umap test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_umap_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Run on toy example with privacy threatening behavior\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_val_simul, tpr_val_simul, color='C1', label='L2 val')\n", + "plt.plot(fpr_test_simul, tpr_test_simul, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_threatening_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/5_plot_density_attacks-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/5_plot_density_attacks-checkpoint.ipynb new file mode 100644 index 0000000..fda8b91 --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/5_plot_density_attacks-checkpoint.ipynb @@ -0,0 +1,783 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Density attacks\n", + "### Analysis and visualization\n", + "We check if, when one image from candidate looks similar to many synthetic samples (many synthetic images cluster around a candidate) it can betray that this image was used in trainign.
\n", + "We run the analysis by looking at the largest clusters of synthetic data around a candidate and checking if the candidate was from training" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import umap\n", + "import pandas as pd\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import rankdata\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "from sklearn.metrics import roc_curve, auc\n", + "from matplotlib.lines import Line2D\n", + "from matplotlib import cm\n", + "from matplotlib.colors import ListedColormap, LinearSegmentedColormap" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load experimental data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "umap_dist = np.load('./privacy_saves/umap_dist_candidate_synth.npy')\n", + "L2_dist = np.load('./privacy_saves/L2_candidate_syth.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generate data for privacy threatening example" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# We simulate images coming from different datasets.\n", + "# An image is a vector of size 1x64\n", + "\n", + "# We define synthetic as the base dataset\n", + "# Candidates from training to be a subset of slightly altered synthetic images\n", + "# Canditates from training to be a subset of altered synthetic images\n", + "# Candidates from training to be a subset of very altered synthetic images\n", + "\n", + "# This is not representative of the process GAN goes throught, the goal is just to create a \n", + "# visualization that helps with understanding the other plots through an extreme case\n", + "\n", + "dim_size = 64\n", + "size = 2000\n", + "\n", + "# 2000 base synthetic images as random gaussian noise\n", + "synthetic_threatening = np.random.randn(dim_size, size)\n", + "\n", + "# augmenting the synthetic dataset with variation of the 2000 base images\n", + "# (additive and multiplicative noise)\n", + "synthetic_threatening = np.concatenate((synthetic_threatening, synthetic_threatening + np.random.randn(dim_size, size)*0.1, \n", + " synthetic_threatening*(0.975 + np.random.rand(dim_size, size)*0.05) + np.random.randn(dim_size, size)*0.15,\n", + " np.random.randn(dim_size, size),\n", + " synthetic_threatening*(0.95 + np.random.rand(dim_size, size)*0.1) + np.random.randn(dim_size, size)*0.2),\n", + " axis=1)\n", + "len_syn_th = synthetic_threatening.shape[1]\n", + "\n", + "# training is a randomly sampled slightly altered version of the synthetic training\n", + "train_threatening = np.random.permutation(synthetic_threatening)*(0.975 + np.random.rand(dim_size, len_syn_th)*0.05) + np.abs(np.random.randn(dim_size, len_syn_th)*0.15)\n", + "train_threatening = train_threatening[:,:1000]\n", + "\n", + "# validation is a randomly sampled slightly altered version of the synthetic training\n", + "t = 0.45\n", + "val_threatening = np.random.permutation(synthetic_threatening) + (t +np.random.randn(dim_size, len_syn_th)*t)**2\n", + "val_threatening = val_threatening[:,:1000]\n", + "\n", + "# testing is a randomly sampled slightly altered version of the synthetic training\n", + "t = 0.5\n", + "test_threatening = np.random.permutation(synthetic_threatening) + (t + np.random.randn(dim_size, len_syn_th)*t)**2\n", + "test_threatening = test_threatening[:,:1000]\n", + "\n", + "# The candidates samples are 1000 images from each origin\n", + "candidate_th = np.concatenate((train_threatening, val_threatening, test_threatening), axis=1)\n", + "\n", + "# Computing the distances between synthetic and candidates\n", + "d1 = cdist(candidate_th.T, synthetic_threatening.T)\n", + "# rank by distance\n", + "d1_sorted = np.sort(d1.ravel())\n", + "percent_2 = d1_sorted[len(d1_sorted)//50]\n", + "\n", + "# Get clusters\n", + "d1_clusters = np.sum((d1 < percent_2)*1.0, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Relevant global functions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def sort_by_max(a):\n", + " '''Default sorting algorithm is ascendant and does not handle similar values well.\n", + " This function is a quick solution to sort descending with the relevant\n", + " handling of same values'''\n", + " arg_list = []\n", + " temp = np.copy(a)\n", + " for i in range(len(a)):\n", + " ind = np.argmax(temp)\n", + " arg_list.append(ind)\n", + " temp[ind] = -1\n", + " return arg_list" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "'''Colormap for easy plotting'''\n", + "N = 128\n", + "vals = np.ones((2*N, 4))\n", + "\n", + "vals[:, 0] = np.concatenate((np.linspace(31/256, 255/256, N), np.linspace(255/256, 44/256, N)))\n", + "vals[:, 1] = np.concatenate((np.linspace(119/256, 127/256, N), np.linspace(127/256, 160/256, N)))\n", + "vals[:, 2] = np.concatenate((np.linspace(180/256, 14/256, N), np.linspace(14/256, 44/256, N)))\n", + "\n", + "newcmp = ListedColormap(vals)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Main plot: distribution attacks" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a represent training samples; b represents validation; c represents testing samples\n", + "\n", + "a = np.sort(d1_clusters[:1000])[666:][::-1]\n", + "b = np.sort(d1_clusters[1000:2000])[667:][::-1]\n", + "c = np.sort(d1_clusters[2000:])[667:][::-1]\n", + "d = np.concatenate((a,b,c))\n", + "d = d*1.0\n", + "d_labels = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=4, nrows=1, figsize=(18, 3))\n", + "\n", + "\n", + "# figure 1: the rank of cluster vs their size in a privacy threatening case\n", + "\n", + "d_labels_sorted = d_labels[np.argsort(-d)]\n", + "ax[0].scatter(rankdata(-d), d, color='gray',s=15, alpha=1)\n", + "ax[0].set_xlabel('cluster rank')\n", + "ax[0].set_ylabel('cluster size')\n", + "\n", + "###########\n", + "# figure 2: the rank of cluster vs their size with color based on origin\n", + "# This represents a privacy threatening case\n", + "\n", + "d_labels_sorted_threatening = d_labels[np.argsort(-d)]\n", + "ax[1].scatter(rankdata(-d), d, c=d_labels_sorted_threatening, cmap=newcmp, s=15, alpha=0.7)\n", + "ax[1].set_xlabel('cluster rank')\n", + "\n", + "###########\n", + "# figure 3: the rank of cluster vs their size with color based on origin for observed behavior in pixel space\n", + "\n", + "# Define neighborhood as things in a small distance, small distance is bottom 0.1% of distances\n", + "L2_sort = np.sort(L2_dist.ravel())\n", + "percent_01 = L2_sort[100000]\n", + "\n", + "neighbourhood_01_L2 = np.sum((L2_dist < percent_01)*1.0, axis=1)\n", + "\n", + "# Label clusters with their origin\n", + "# From train\n", + "train_clusters_f = neighbourhood_01_L2[:334]\n", + "train_clusters = train_clusters_f[train_clusters_f>0.0]\n", + "\n", + "# From val\n", + "val_clusters_f = neighbourhood_01_L2[334:667]\n", + "val_clusters = val_clusters_f[val_clusters_f>0.0]\n", + "\n", + "# From test\n", + "test_clusters_f = neighbourhood_01_L2[667:]\n", + "test_clusters = test_clusters_f[test_clusters_f>0.0]\n", + "\n", + "'''PLOT Figure 3'''\n", + "perm = np.random.permutation(len(d))\n", + "d = np.concatenate((train_clusters_f, val_clusters_f, test_clusters_f))[perm]\n", + "d_labels = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))[perm]\n", + "d_labels_sorted = d_labels[np.argsort(-d)]\n", + "rank_d = rankdata(-d)\n", + "s_d = np.argsort(sort_by_max(d))\n", + "ax[2].scatter(s_d, d, c=d_labels, cmap=newcmp, s=30, alpha=0.7)\n", + "ax[2].set_xlabel('cluster rank')\n", + "# ax[2].set_ylabel('cluster size')\n", + "\n", + "###########\n", + "# figure 3: the rank of cluster vs their size with color based on origin for observed behavior in pixel space\n", + "\n", + "# Define neighborhood as things in a small distance, small distance is bottom 0.1% of distances\n", + "u_sort = np.sort(umap_dist.ravel())\n", + "percent_01 = u_sort[10000]\n", + "neighbourhood_01_umap = np.sum((umap_dist < percent_01)*1.0, axis=1)\n", + "\n", + "# Label clusters with their origin\n", + "# From train\n", + "train_clusters_f = neighbourhood_01_umap[:334]\n", + "train_clusters = train_clusters_f[train_clusters_f>0.0]\n", + "\n", + "# From val\n", + "val_clusters_f = neighbourhood_01_umap[334:667]\n", + "val_clusters = val_clusters_f[val_clusters_f>0.0]\n", + "\n", + "# From val\n", + "test_clusters_f = neighbourhood_01_umap[667:]\n", + "test_clusters = test_clusters_f[test_clusters_f>0.0]\n", + "\n", + "'''PLOT Figure 4'''\n", + "perm = np.random.permutation(len(d))\n", + "d_umap = np.concatenate((train_clusters_f, val_clusters_f, test_clusters_f))[perm]\n", + "d_labels_umap = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))[perm]\n", + "d_labels_sorted_umap = d_labels_umap[np.argsort(-d_umap)]\n", + "rank_d = rankdata(-d_umap)\n", + "s_d = np.argsort(sort_by_max(d_umap))\n", + "ax[3].scatter(s_d, d_umap, c=d_labels_umap, cmap=newcmp, s=30, alpha=0.7)\n", + "ax[3].set_xlabel('cluster rank')\n", + "# ax[3].set_ylabel('cluster size')\n", + "\n", + "# Custom legend\n", + "custom_lines = [Line2D([0], [0], marker='o', color='w', markerfacecolor='gray', label='candidate'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(0.), label='candidate from train'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(.5), label='candidate from val'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(1.), label='candidate from test')]\n", + "\n", + "fig.legend(handles=custom_lines, loc='upper right', bbox_to_anchor=(0.91,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "\n", + "# Save and show\n", + "plt.savefig('./images/clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Supplemental: Quantitative analysis of discriminative power" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification power on based on cluster size" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred(label_sorted, cut_off=100):\n", + " pred = label_sorted[:cut_off]\n", + " pred_train = pred[pred==0.0]\n", + " \n", + " pred_val = pred[pred==1.0]\n", + " \n", + " pred_test = pred[pred==2.0]\n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return (len(pred_train)/(len(pred_val)+len(pred_train)),\n", + " len(pred_train)/(len(pred_test)+len(pred_train)), percent)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification accucary for top n (cut_off) clusters\n", + "Quantitative analysis of information from training carried over into the synthetic dataset.
\n", + "We define a threshold (cut off) based on the size of clusters. After a given size, the clusters are considered outliers. We then compare the proportion of these outliers coming from train/validation/test.
\n", + "Privacy threatening is when most of the outliers come from train." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# printing for given cut off\n", + "cut_off_print = 333" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space (basic L2 distance)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.54\n", + "test 0.84\n", + "train 0.49, val 0.42, test 0.09\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers in pixel space (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('L2 clusters')\n", + "plt.savefig('./images/supp/Supp_L2_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature space (in UMAP embedding)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.71\n", + "train 0.43, val 0.39, test 0.18\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted_umap, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers in pixel space (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Umap clusters')\n", + "plt.savefig('./images/supp/Supp_umap_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Privacy threatening toy example" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.91\n", + "test 0.99\n", + "train 0.90, val 0.09, test 0.01\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted_threatening, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AiYfGH0LV52DfQqsQxFy+cd34eNgzF9aNhT3zrS//3GWsSz8lG0PBcPDxvXGbzHlg3yL4LBxO77GW+QdZRcI3ACLXaCFIJF/mfLcs61CqAw8VfoilkUt5Z8U7tPm9DeObjCdnxpz4ii/5MuXT4Q+UR6hSpQqZMmXi448/dtp7aCG42frx8PtLkK8CtPkechSzlgc4GntiHKd7cbGw+Rf4aySc2gVZ8kGtF6FCR8id8qkoBapA1E7IUQkqPwWhdSBvGPj6wfeNrbaEyc9A1G5oNw5y3XdvxxQfDz6eNfWEiBASFELLEi3x9/XnzeVv8uTsJxNe71e1H0+UecLGhEqljXXr1jn9PbQQJLZlCszoBcUbQPvx/335Q6JC8K/11/zcAXByO+QpD62+hbItwDeV4383GQqNP0i6LSCkFBxeYb3Pv1Fw+O87KwQXT1gN0kfXwbENcHyrdZby8ibIkHTjlTvzER+aFW9GzsCcnI4+DcDXm77mwzUf0uK+FmQOyHybPSiltBBcd2wjTO8JhWtCx5/BL8ONr1//Qvnzf9Zf89mLQNsfoEzzu2vcTW6bRh/AA70hS154Nxdsm2adNSQlPg6Ob7baGCLXQOQ6uBDp2L+vdYkq9/1wYAks+9hqwI4+Dy2+BP+Md57ZhdUuUDvh8aWYS3yw+gOGrRnG4NqDbUyllHvQQgAQG2MVgYzB0H7CrUUA/jsjOLXb+qJ+sA/4B6Z9loAg6+e6fQv/60lkjNX1dP9iOLAUDi23vtjBKkyFq0OBntalp7xh1n7OHYER5WH5p+AXCLHRULwe3P+YdbxJcfOeS+1LteebLd+w/OjyZPtmK6X+o4UAYMXncHIbdPgZMiUzIFqWfFZvnkI1oFDV9MlVtz8sGQq751hf/LtmwdmD1mvBRa2zkaJ1rTaGLMncNZm9EHRbbF0W8s8In9xv9Yba+ye0+8E6Szi23jqbOLrWOrPwDYCXNjqn0KUDXx9fXqr0EoP+HsTus7u1N5FSt6GFIPo8/DUCSjaB0o8kv56I1RicnvI4+gz/3AF8M0CxCKj9Ctz3UOruZbguf8X/HrccDWu+sQrB51X/u78BIFdJiI+Fy6dhw3i37rlUM39NAD5Y/QGhWUPx9/Gna1hXcgfltjmZSivnzp3jp59+Shhr6E6NGDGCbt26ERQUdPuVPZwWgjXfWsWg3ht2J7lV8QbWZah8FaB4fciQBg2fFdpb3VkXvGPdHxHWDgqEQ4HK1j0Pl07CRyVg00S3LgR5M+WlYZGGbDy5kcMXDhN1JYocgTl4vuLzdkdTaeTcuXN8+eWX91QInnjiCVsLgcsMS22McaufKlWqmDQTF2fMp+WNGfNo2u3TE/zaw5i3sxpzdL3dSdJMp5mdTNUJVc3V2Kt2R/EY27dvt/X927dvbwIDA02FChVM7969jTHGDBs2zISHh5vy5cubQYMGGWOMuXTpknnkkUdMWFiYKVu2rJk4caIZOXKk8ff3N+XKlTMRERG37Pt///ufCQ8PN2XLljVdu3Y18fHxxhhj9uzZYxo0aGDCwsJMpUqVzN69e40xxnz44YemXLlyJiwszPTr188YY0zdunXNmjVrjDHGREVFmSJFihhjjBkzZoxp06aNadq0qalXr565ePGiqV+/vqlUqZIpV66cmT59ekKOH374wZQvX96EhYWZJ554wly4cMGEhoaamJgYY4wx58+fN0WKFEl4fl1S/zbAWpPM96oLlCIbHVwK5w5Bg0F2J3EtNXrApp9gdAS8EekR3U4fLPggm09tZvaB2TS/r7ndcTzOh6s/ZOeZnWm6z9I5Sqc4HPnQoUPZunUrGzduBGDevHns2bOH1atXY4yhWbNmLF26lKioKPLnz88ff/wBWGP9ZMuWjU8++YRFixaRK9et7YK9evVi0CDre+HJJ59k5syZPPbYYzz++OP079+fli1bEh0dTXx8PLNnz2b69OmsWrWKoKCghOGqU7JixQo2b95Mjhw5iI2NTXLY7O3bt/P+++/z119/kStXLs6cOUOWLFmIiIjgjz/+oEWLFkycOJHWrVvj75/KruvJ8Ky7jO7U9hngnwlKN7U7iWvJV8Hqegow8zWrl9J1sTHW2EkbfrS6r7qJbmHdyJYhG8uOLrM7inKSefPmMW/ePCpVqkTlypXZuXMne/bsoXz58ixYsIB+/fqxbNkysmXLdtt9LVq0iOrVq1O+fHkWLlzItm3buHjxIkePHk2YKCYwMJCgoCAWLFhA586dEy4xXR8+OiUNGzZMWM8Yw4ABAwgLC+Ohhx5KGDZ74cKFtGnTJqFQXV+/S5cujBkzBiDN5ifw3jOC6wPKFa/ntr1jnKrLAhheArZMsnoVVewEB5ZZdz1fcwyzEZQTSjW2N2cqiQj1CtVj+t7pDK41mCB/bSBMS64wkZAxhjfeeIPu3bvf8tq6deuYNWsWb7zxBg8//HDCX/tJiY6OpmfPnqxdu5ZChQrxzjvvJAxLndz7JtVF2c/Pj/j4+IR9JpZ4WOrkhs1Obr+1a9fm4MGDLFmyhLi4OMqVK5fssaSW954RnNxu3XxV4mG7k7imgEzQazXU6Amn98Kfg+HSCaj0JLQda42iemQlnN4HGyZYv11cRMEIAL7YmPKcCMo9ZMmShYsXLyY8b9SoEd9//33CqJ9Hjx5NmLgmKCiIJ554gt69e7N+/fokt7/u+pd2rly5uHTpElOmTAEga9asFCxYkOnTpwNw9epVLl++zMMPP8z333/P5cvWH0jXLw2FhoYmDA9xfR9JSW7Y7AYNGjBp0iROnz59w34BnnrqKTp27Jhms5V57xnBweXW7/sa2JvDlWUrCBFvWD2W8le68R6Lv0ZZ4ywt/9R6HnI/vLDSnpypVK9wPQplKcTyo8t5puwzhASF2B1J3YOcOXNSu3ZtypUrR5MmTRg+fDg7duygZk2r63DmzJmZMGECe/fupU+fPvj4+ODv789XX30FQLdu3WjSpAn58uVj0aJFCfvNnj07Xbt2pXz58oSGhlK16n/3DY0fP57u3bszaNAg/P39mTx5Mo0bN2bjxo2Eh4cTEBDAI488wpAhQ+jduzft2rVj/PjxNww3fbPkhs0uW7Ysb775JnXr1sXX15dKlSolzF/w+OOPM3DgQDp2THH+r1Tz3mGof+0G+5dA7133vi9vtPVX2DkTitSG7dOtG95afQNlW1mD57mocdvGMXztcAAG1xpMi/ta6J3Hd0mHobbPlClT+O233xg/fnySr+sw1Kl1dL01FIO6O+VaWT9g3d38eRX4tStcOQvVb71G6yralmpLjow5GLZ6GIP+HsSBCwd4rcprdsdSKtVefPFFZs+ezaxZs9Jsn97ZRnDlnDUPQIFKdifxDLnus84GAGb3hatJz8zkCjL6ZaRpsaaMqj+KzP6ZGbN1DL/s/MXuWEql2meffcbevXspWbJkmu3TOwvB8c3W7/yV7c3hScLawYN9rcdHVtmbJRUq5q7IT4/+BMB7q97jbPRZmxO5J3e7tOwN7ubfxDsLQZSjXSC5KSfV3an9sjX89aG/7E6SKkWzFeX9Ou8DsDRyqc1p3E9gYCCnT5/WYuBCjDGcPn2awMA76xLvnW0Ep/daN5JluXUKRHUPMmS2ehdtmWJNkNNkqMvflfxYsccYuW4kA/8aSJGsRaiYu6LdkdxGwYIFiYyMJCoqyu4oKpHAwEAKFix4R9t4ZyE4tQdyFnfrMfddVomGsPgD2HjImhmt5dd2J0qRiDCwxkBeWvQSM/fP1EJwB/z9/SlatKjdMVQa8M5LQ6f3Qs57nAdYJe2B1+E1x5gz26ZZ8yUDXDwOm36BuW/+dw+Hi6hXuB71C9Xnl12/cOD8AbvjKJXuvK8QxMfDhWOQvbDdSTyTrz9kzQctvrZmQ5v5MnzfBD4uDdO6WZMAjX0UYi7bnfQGT5d9GoBm05sx7+A8m9Molb68rxD8GwXx16y7ZpXzFH3Q+r1+HESfg4j+0GM51HnVWr79N9uiJaVynsoMqmmNP/P6kte5FOO6XWCVSmve10Zw4aj1O2t+e3N4umwFrC9+/yCrPea63GWt4jCnH1To4FLtNG1LtiUmLoahq4dS8+eaTHx0ImVzlbU7llJO531nBBeOWb+zFrA3hzfIW/7GIgDg4wOFqluzwo1rZl0y2jYdlgyHL2vBiPLWUNc26Vi6Iz0q9ABgxr4ZtuVQKj1pIVDpr7lj9M/jW+HfUzD5aVj0HsTFwLnDMKGV1f0UrOHCT2yH5SNgzKOw6v+cGs1HfHih4gtEFIpg0ZFF2kdeeQXvuzR06bh101NQTruTeK+gHNDvIARkhi2TrSE/yjSHzHng3ZxwcBl819AaGXbPfDh/5L9tDy2H0DqQx7mXbOoXqs/iI4upNL4SuTLm4tfmv5I1IKtT31Mpuzj1jEBEGovILhHZKyL9k3g9WESmichmEVktIvc+w8LtXD5tFQEf7zsZcikZg60eRhU7Qc2eVpuCrx+8vAkKVrOmEN30izVb2mOj4NXt8IxjkK1NPzs9XpOiTXix0ou0LtGaE5dPUPvn2mw4ucHp76uUHZx2RiAivsAXQEMgElgjIjOMMdsTrTYA2GiMaSkipR3rO3eCgMunrb9IlWsKDoVn51jjQeUuA34Z/nstWwG47yHY8Ts0fNepDc2BfoF0C+uGMYbQbKEMWzOMZ+c8y7on1+Ej+keE8izO/C+6GrDXGLPfGBMDTARunjW8DPAngDFmJxAqInmcmAkun9XLQq7Ox9caqiJxEbju/sfg7EE4sTVdoogIT5Z5kifuf4JYE8uwNcPS5X2VSk/OLAQFgEQXd4l0LEtsE9AKQESqAUWAWzr4i0g3EVkrImvveVyTy6etyxLKPZV6FMTHOitIR6+Fv0ZwhmB+3PEjRy4euf0GSrkRZxaCpM7bb+6CMRQIFpGNwIvABiD2lo2MGW2MCTfGhIeE3OP0gtfbCJR7yhwChWvB9vTt2unv48+IeiMA+GzDZ1yMuXWuW6XclTMLQSRQKNHzgsCxxCsYYy4YYzobYyoCTwEhgPMGezEGrpzRQuDu7n8MonZYgwemo8p5KhMWEsbsA7MZsHxAur63Us7kzEKwBighIkVFJADoANzwZ5yIZHe8BtAFWGqMueC0RFcvQHysNha7u/ubWr+XfZzubz0iYgThecJZfnQ5M/fPZPaB2cw+MJuFhxcSFx+X7nmUSgtO6zVkjIkVkV7AXMAX+N4Ys01Eejhe/xq4HxgnInHAduA5Z+UBrP7qAIHZnfo2ysmyFYSQ+61upPXfsnoTpZOQoBB6V+1Nh5kdeGPZGze81rF0R6rkqcLDRR5GXGjoDKVuR9ztzsnw8HCzdu3au9v4xDb4qha0HQtlW6ZpLpXO/tkE//cgNB4KNZ5P97c//u9xLsc6RlA18OLCFzl88TAAz5Z7llervJrumZRKiYisM8aEJ/Wad3WIjvnX+h3g2rNmqVTIVwHylLPGKbJB3kx5KZatmPWTvRjTmk9jVivrhrfvt37P/vP7bcml1N3wrkJw1dHTIyCTvTlU2ijTAo6s/G/8KBsF+AZQKEsh5reZD8B7K9+zOZFSqeddheD6GUGGzPbmUGmjbAvrtwvNbZA3U14q567MmuNrmHNgjt1xlEoVLysEjslG9IzAM+QqYV0emtMfLp+xO02CjyOs3kwTdkywOYlSqeNlhUDbCDzO9YbirVPtzZFIroy5eLnyy2yK2kSdiXVo+3tbrsZdtTuWUsnyrkKgbQSep+LjEFIa1v1g3TDoItqWbMvTZZ6mRr4a7Dyzk0ZTGnH4wmGiY6PtjqbULbxrPoKYf61xavwz2p1EpRURKNsKFg+BDeOh8lN2JwIgW4Zs9K7am7j4OIwxzDs0j0enPUqhLIWY0WIGfj7e9b+ecm3edUYQc8m6LKQ3+3iWWr3ALyNsdP48BXfK18eX4XWH80nEJ7Qq0YojF4/wwaoP2BK1xe5oSiXwwkKgl4U8TkAmeOB1OPy3NdWli/ERHxoWacjAGgPJlykfk3ZP4rl5z/Htlm+JunyPo+kqlQa8qxBcvaRdRz1V+TbWbxdqNL6Zv48/v7X4ja8e+orY+FhGrh9Jm9/bcPzf43ZHU17OuwpBzL/gH2R3CuUMOYpCwaqwZYrdSVKU0S8jdQrUYc3ja+hctjNnos/QfHpz/rn0j93RlBfzrkIQG60NxZ6sfFtr5rIT22+/rs18fXx5Lfw1upbvyuXYy0zePdnuSMqLeVkhuAq+AbdfT7mnsi1BfGGL+3ypvlT5JWrlr8U3W75h9T+r7Y6jvJR3FYK4mKTnwVWeIXNuKBZhXR5yoXsKbqdnxZ4APDfvOcZvH8+pK6dsTqS8jfcVAj0j8Gxh7eD8YVg31u4kqVYhpELCNJjD1gyj3e/tiImLsTeU8ireVQhir+oZgacr/aj1e+YrcM59JplvULgBc1vP5dFijxJ1JYrWM1rz9t9v89Wmr3C3OUOU+/GuQhAXA75aCDxahizQydFGMKK8S3cnvVn+zPn5oM4HPFjwQS7HXubXPb/y5cYvaTWjlXYxVU7lXYUg9ir46aUhj1fyYWj4LmTOAwvfd6v2AhHhiwZf8GfbP1nVaRUPF3mYfef28dOOnzh95bTd8ZSH8q5CEHdVzwi8Re2XoMEgOLMPjrhnb5wg/yA+jviYGvlqMGbbGCImRfD+yveJi4+zO5ryMN5VCGJj9IzAm5RpDv6ZYOOPdie5J+/UeodBNQfh7+PPxF0T6b6gOz9s+4GZ+2dq+4FKE941BKKeEXiXDJmtYrBtmjXJfYB73lWeP3N+2pZsS4PCDWj3eztW/bOKVf+sAqBQlkJUCKlgc0Ll7rznjCAuFky89hryNhU7wdULsPMPu5PcsxyBOZjbei4rO61kUbtFBPoG8vri1/VSkbpnXlQIHDNE6X0E3qVIbcheGDb9ZHeSNOHr40sm/0zkypiLliVacuLyCWYdmGV3LOXmvKcQxDoKgZ4ReBcfH6jQEfYthM2T7E6TpnqH9yaLfxYGLB/A+hPr7Y6j3Jj3FILrd2r6+tubQ6W/ip2s3792hRkvQcxle/OkkQDfAPpX7w/A03OeZv+5/TYnUu7KewrB9TMCbSz2PsGh0OMvyBgM63+AL6r9N3+1m2tWvBlfNPgCgOa/NWf7adcfeVW5Hu8pBNfPCPTSkHfKWw76HoBybeD8EZeft+BOPFjwQQbXGgzA2G1j7Q2j3JL3FIJYbSz2eiLQ+lvIXQbWj7M7TZpqWaIlHUt3ZMGhBZyLPmd3HOVmvKcQxGljscIqBpWfgmPrPa4YtC7Rmmvx13hp0Uv0XtKbYWuGEW/i7Y6l3IAXFYJr1m89I1AVOoCPHywZDvGe80VZKkcpmhVvxrmr59h6aivjt49n3qF5nL963u5oysU5tRCISGMR2SUie0WkfxKvZxOR30Vkk4hsE5HOTguj3UfVdRmDodVoa96CNd/anSZNvV/nfWa0mMGMFjMIzhBMnyV9qDOxDvMOzrM7mnJhTisEIuILfAE0AcoAHUWkzE2rvQBsN8ZUACKAj0XEOX+yJ3Qf1UKggNJNISAz/DkYYv61O02aC/AN4OuGX9MnvA8Ary95nW+3fKtjE6kkOfOMoBqw1xiz3xgTA0wEmt+0jgGyiIgAmYEzQKxT0iScEeilIYV1Ztj6O4i5CJM7e9QlouvK5CzDU2Wf4tOITwEYuX4kD01+iNYzWtPu93ZsPLnR3oDKZaSqEIjIVBF5VETupHAUABJPERXpWJbY58D9wDFgC/CyMbe2bolINxFZKyJro6Ki7iBCInF6H4G6SclGUKAK7JkLk5+2O43TPFTkIVY/vpoW97WgXK5yFMxckKOXjjLwr4E6x4ECUn9G8BXQCdgjIkNFpHQqtpEklt18XtoI2AjkByoCn4tI1ls2Mma0MSbcGBMeEhKSysg3ub8Z9DsIOe+7u+2V5xGBJ6dBwWqwYwYsH2F3IqfJ6JeRd2u/y8j6IxlZfyRP3P8Ehy4cYsDyAXZHUy4gVYXAGLPAGPM4UBk4CMwXkb9FpLOIJDdmQyRQKNHzglh/+SfWGfjVWPYCB4DUFJk75+tvNRL6etfI2+o2ArNBux+sxwveho0/25snnXQN60qz4s34+9jfHLpwyO44ymapvtQjIjmBZ4AuwAZgJFZhmJ/MJmuAEiJS1NEA3AGYcdM6h4EGjv3nAUoBOmCKSl9Z80Of/eCXEZZ6VpfS5Pj5+PFy5ZfxEz++2PgF8w/N13mRvVhq2wh+BZYBQcBjxphmxphfjDEvYjXy3sIYEwv0AuYCO4BJxphtItJDRHo4VnsXqCUiW4A/gX7GmFP3dkhK3YVMOaHZKGtqy2Uf250mXeQOyk3D0IbMPjCb1xa/RpOpTfhozUdcvuYZg/Kp1JPUdCcTkfrGmIXpkOe2wsPDzdq1a+2OoTxR7FUYXgKunodnZkFobbsTOd3VuKscunCIRYcXMXHXRE5dOUXPCj15vuLzdkdTaUxE1hljwpN6LbWXhu4XkeyJdhgsIj3TIpxSLsMvA3RbZD1e9pG9WdJJBt8MlAwuSfcK3VnUbhEVQyry5aYvGbV+lJ4ZeJHUFoKuxphz158YY84CXZ2SSCk75SwO9QZaE9lM7QKXz9idKF0NrDEQQfhmyzd8t/U7u+OodJLaQuDjuOkLSLhrWO/MUp4pvDMUrglbJsPqb+xOk65K5SjFyk4reaDAA3yz+RuqTqhKpz86ce36WF3KI6W2EMwFJolIAxGpD/wMzHFeLKVslCkXPDsH7msIa7+D2Bi7E6WrIP8g+lbtS+dynSkRXIItp7bw+KzHORPtXWdH3iS1haAfsBB4Hmt8oD+Bvs4KpZRLqNEDLp2A7dPtTpLuQrOF8mqVVxnfZDw189Vkx5kdfLnxS85Gn7U7mnKCVPUaciXaa0ilm/h4a1rLK2fh5Y2QIYvdiWzTd2lfZh+YjSD89OhPlMtVzu5I6g7dc68hESkhIlNEZLuI7L/+k7YxlXIxPj5Q60W4fAqWekcvouT0r9afwbUGk9k/M32X9qXHgh7MOaBXhz1Fai8NjcEabygWqAeMA8Y7K5RSLqPK01DiYfh7FJz13qEYcgTmoGWJlrxS5RWyZ8jOrjO7GLp6KDFx3tV+4qlSWwgyGmP+xLqUdMgY8w5Q33mxlHIhD/YBEw/f1Ido757tq12pdvz06E8MqTOE09GnmXVglt2RVBpIbSGIdgxBvUdEeolISyC3E3Mp5ToKVYO6/axLRJ9XhYs6Jk+NfDUoEVyCt/56i+l7p9sdR92j1BaCV7DGGXoJqAI8AXjuAO5K3azeAKjQ0epF9EMzrxiYLiUiwuBag8nkn4lR60fx4eoPOXVFhwlzV7ctBI6bx9oZYy4ZYyKNMZ2NMa2NMSvTIZ9SrqP5l1DnVTi1C/4eCW7W4y6tlctVjk8jPiXexDNhxwTqTarHtD3T2HByAxtObuDYpZtHnVeuKrWDzi0EGhgX6Guq3UeVreKuwYgwuHgMWn0DYe3sTuQSJu+ezOAVg29YlsU/C3PbzCVLgPd2u3UlKXUfTe0sLRuA30RkMpAw07cx5tc0yKeU+/D1h+fmwuh6sOwTKNfG6mbq5dqWbEvVPFU59q91FnDqyineXP4mk3dP5tlyz9qcTt1OagtBDuA0N/YUMoAWAuV9sheGRkNgWjdrvuNSTexO5BJCs4USmi004fnv+37nh20/EHU5iohCEVTPV92+cCpFemexUncj7hqMqgxZ8sJz86z5j9UN1p9Yz6uLX+VizEWCMwQzu/VsAnx1rEq7pMWdxWNE5Pubf9I2plJuxNffuus4cjUcXmF3GpdUOU9llrRfwuf1P+fklZO8vvh1Zuy7ebZa5QpSe2loZqLHgUBLbp2IXinvUukJWDIUln8KRWrZncZl1cxfk4hCEaw9vpblx5aTyT8TDxZ8EH8ff7ujKYdUnREYY6Ym+vkRaAfoqFPKuwUEQfXnYc88OL7V7jQuS0T4rP5nTGk2BUF4ZdErjN06lrj4OOLi43C3y9Oe6G67O5QACqdlEKXcUrUuEJAZ/hphdxKXVyBzAX5v+TvV81Vn1IZRVBxfkYrjK9JnaR+7o3m9VF0aEpGLWL2ErjuONUeBUt4tYzBUeQZWfG71HirX2u5ELq1A5gK8U/MdZh2YRbyJZ/fZ3cw9OJdnyz1LmZxl7I7ntbTXkFL36uIJGFXJKgovbQA/7RmTWhdjLtJoSiNCgkL4pekvBPoF2h3JY6VFr6GWIpIt0fPsItIijfIp5d6y5IF24+BCJGz62e40biVLQBaeLvs0+8/vp/v87tpeYJPUthG8bYxJGH/XGHMOeNspiZRyR/c1gPyVYFZvOHPA7jRupXuF7jQKbcT6k+t5Y/kbxMbH2h3J66S2ECS1Xmq7nirl+UTgoXcgLgZ+7gDnI+1O5FaG1BlCsWzF+GP/H7Se0ZqZ+2cya/8sLsRcsDuaV0htIVgrIp+ISHERKSYinwLrnBlMKbdTLALqvQlRO627jv/ZZHcitxHgG8D05tOpV6ge+8/v541lb9BvWT8+XP2h3dG8Qmr/qn8ReAv4xfF8HjDQKYmUcmcP9LYajWf1hv97ELoshIJV7E7lFkSEEfVGcPTiUeKJZ/z28UzePZmcGXPiJ9ZXla+PL+1LtSdXxlw2p/Us2mtIKWfYvxgmtIGiD8KTOjbj3Th15RTtf2/PmegzABgMcSaOAJ8AhjwwhFr5a+kQ13cgpV5DqZ2PYD7Q1tFIjIgEAxONMY3SMmhqaCFQbuOvkTB/EDw7FwrXsDuNRxi7dSwfr/sYgEahjfio7kc2J3If99x9FMh1vQgAGGPOonMWK5Wyql0gUwhM7QJXztmdxiM8U+4Z/mj5B51Kd2Luwbl8tuEz7XKaBlJbCOJFJGFICREJ5cY7jZVSNwvIZM11fP4ITH/e6+c5TiuFsxamZ8WeZPbPzOjNo1l8ZLHdkdxeagvBm8ByERkvIuOBJcAbt9tIRBqLyC4R2Ssi/ZN4vY+IbHT8bBWROBHJcWeHoJQLC38WKnSCXbNg4492p/EY2TJkY1mHZYRmDWXUhlHExcfZHcmtpXb00TlAOLALq+fQ68CVlLZxTHr/BdAEKAN0FJEbBhMxxgw3xlQ0xlTEKixLjDFn7vQglHJpj42EnCVg8VCIvWp3Go/h5+NHr0q92HtuL7MOzLI7jltL7RATXYA/sQrA68B44J3bbFYN2GuM2W+MiQEmAs1TWL8joPfnK8/jFwCPDLeGoJilI22mpYZFGlImZxm+2PgFMXExdsdxW6m9NPQyUBU4ZIypB1QCom6zTQHgSKLnkY5ltxCRIKAxMDWZ17uJyFoRWRsVdbu3VcoFFa8HhWvC+h9gyTC703gMH/Hh5Uovc/TSUSbvnmx3HLeV2kIQbYyJBhCRDMaYnUCp22yT1CSuyTUwPwb8ldxlIWPMaGNMuDEmPCQkJJWRlXIxT/wKuUpaheDMfrvTeIya+WtSLW81Rm8ezb/X/rU7jltKbSGIFJHswHRgvoj8xu2nqowECiV6XjCFbTqgl4WUpwsIgqd/t+Y7ntoFrqXYzKZSSUR4ufLLnIk+w/jt4+2O45ZS21jc0hhzzhjzDtZQE98BLW6z2RqghIgUFZEArC/7W2audgxvXRf47Q5yK+WesuS1xiM6us664UylibCQMBoUbsDYbWM5G33W7jhu546nqjTGLDHGzHA0AKe0XizQC5gL7AAmGWO2iUgPEemRaNWWwDxjjJ7TKe9QqxeUaQ5Lh0PULrvTeIwXK73IldgrjN482u4obudu5yxOFWPMLGNMSWNMcWPM+45lXxtjvk60zlhjTAdn5lDK5TRwTOcx5hG4etHeLB6iePbitC7Rmok7J3Lw/EG747gVpxYCpVQychaH1t/B5VMwtqneX5BGelbsSQa/DHyy7hO7o7gVLQRK2aVsC6jbH/7ZCMNLwOl9didye7ky5qJL+S4sOrKI1f+stjuO29BCoJSd6vaDh9+Hq+dhXHO4og2d9+rJMk+SL1M+Plr7EfFGx3dKDS0EStnJx8dqPG43zhqcbsaLdidyexl8M/BK5VfYcWYHv+/73e44bkELgVKuoExz6zLRjt9hyxS707i9JkWbEJYrjFHrR3H52mW747g8LQRKuYo6r0C2QjD1Odiqs5rdCxGhT9U+nLxykrHbxtodx+VpIVDKVfhnhGf+gGyF4fdX4JKOq3UvKuauSOPQxny/9XsiL0baHcelaSFQypUEF4EnpsK1f2HhYLvTuL3Xw1/HR3wYvma43VFcmhYCpVxNSEmo3gPWj4ej6+1O49byZspL97DuLDyykOVHl9sdx2VpIVDKFdXtZ813POkpuHjC7jRu7akyTxGaNZShq4fqnAXJ0EKglCsKzGrNbHb+CPzWE+Ji7U7ktvx9/Xmj2hscunCIcdvH2R3HJWkhUMpVlX7EGpNo7wL4urYOW30PahWoRYPCDRi9eTTH/z1udxyXo4VAKVdW6yWIGABRO2GZjp9zL/pU7UO8ieejtR/ZHcXlaCFQypX5+kFEPyjfDpYOg93z7E7ktgpkLkCX8l2Ye3Aufx/72+44LkULgVLu4OH3IGMO+Lk9HF5pdxq31blcZ4pkLcJ7K98jOjba7jguQwuBUu4gSx7osgD8g+CXJ+ByktN7q9vI4JuBQTUGceTiEf5v8//ZHcdlaCFQyl3kLA6dZ1tFYMHbdqdxW9XyVaPFfS0Yu3Usu87oDHGghUAp95IvDGr2hPXj4JBe575br1d5nawZsjJ4xWDi4uPsjmM7LQRKuZuIN6zxiMa3gpVf6z0GdyF7YHb6VO3D5lObmbR7kt1xbKeFQCl3E5AJWv0f+AXAnH7wZXW9+/guPFr0UWrlr8XI9SO9/t4CLQRKuaMitaD3Xqg3EE7vhe8awqm9dqdyKyLCwBoDiYuPY8iqIRhj7I5kGy0ESrkrvwCo2wdafQPnDsEPTWHTRPj3lN3J3EahLIV4oeILLDqyiFkHZtkdxzZaCJRyd2Ht4MnpcOUcTOtuzX0cq4OrpdaTZZ4kLCSMD1Z/wKkr3llEtRAo5QmK14PXd0DL0XBiKyzTYRRSy9fHl3drv8uVa1cYvGKwV14i0kKglKfIGAwV2kNYe1j2Mfyzye5EbqNYtmK8WOlFr71EpIVAKU/TeCgE5YQxj8L2GXancRvefIlIC4FSniYoB7T+Fnx8YWoXOLnT7kRuwZsvEWkhUMoTFX0Qeq2BDJnh5w56n0EqJb5ENHP/TLvjpBstBEp5qsy5odlncPYAjAyDqN12J3ILT5Z5kkq5KzFk1RCOXjpqd5x0oYVAKU9W+lF4di4gML4FnNlvdyKX5+vjy5A6QzAYBiwb4BVjETm1EIhIYxHZJSJ7RaR/MutEiMhGEdkmIkucmUcpr1S4BnSYABeOwaSnIfaq3YlcXsEsBXmz+pusP7me77Z+Z3ccp3NaIRARX+ALoAlQBugoImVuWic78CXQzBhTFmjrrDxKebX7HoIOP8LxzbDwPbvTuIWmxZrSJLQJX238iq2nttodx6mceUZQDdhrjNlvjIkBJgLNb1qnE/CrMeYwgDHmpBPzKOXdSj8KVTrD36Ng/2K707g8EWFgzYHkCspF/2X9uXztst2RnMaZhaAAcCTR80jHssRKAsEislhE1onIU0ntSES6ichaEVkbFRXlpLhKeYFGQyBnCZj8DOxdYHcal5c1ICtD6gzh8IXDDFszzO44TuPMQiBJLLu5Y64fUAV4FGgEvCUiJW/ZyJjRxphwY0x4SEhI2idVylsEBEGb7+DqJZjQGma+Cju8p5vk3aiatyqdy3Vm6p6pLDjkmcXTmYUgEiiU6HlB4FgS68wxxvxrjDkFLAUqODGTUipfBXh9JxSpA+vHW3Mg71tkdyqX1qtiL8rlLMegvwYReTHS7jhpzpmFYA1QQkSKikgA0AG4+X7334AHRMRPRIKA6sAOJ2ZSSgFkygWd/4D+hyGkFPzazepVpJLk7+vP8LrDAeizpA/X4q7ZnChtOa0QGGNigV7AXKwv90nGmG0i0kNEejjW2QHMATYDq4FvjTGe3TyvlCsJCII2Y+DqBfiyBpw7bHcil1UwS0Herf0uW09v5ZN1n9gdJ02Ju42nER4ebtauXWt3DKU8y/4l8FN7yFYQWn4NBcPtTuSyhq4eyo87fmREvRE0KNzA7jipJiLrjDFJ/sPqncVKKShW15oH+fQe+LYBrPjC7kQu67Uqr1E2Z1ne+ustjxmCQguBUspSpjm8ug1CH4C5A2Di4xDjuX3n71aAbwDD6w7HGOMx7QVaCJRS/8lWEDpOhPJtYedM+OM1cLPLx+mhUJZCDK49mC2ntvDhmg/tjnPPtBAopW6UIbM1n0HdfrDpZ5j/FnjBwGt3qmGRhjxT9hl+2fUL0/dOtzvOPdFCoJRKWt1+UKIR/P0ZfFMPTu2xO5HLebnyy1TPW513V7zLttPb7I5z17QQKKWS5uMLnX6Bem9a8x9/WRMOr7I7lUvx8/FjWN1h5MyYk1cXvcqZ6DN2R7orWgiUUskTgbp9odsSyJoPfmgKSz/SdoNEcgTm4NN6n3L6ymn6Lu1LbHys3ZHumBYCpdTt5a8InSZDrpKw8F1Y/Y3diVxK2ZxleavmW6z6ZxWj1o+yO84d87M7gFLKTeQuDd2XwcROMKc//BsFRWpB8Xp2J3MJLe5rwdZTWxmzbQwlc5SkabGmdkdKNT0jUEqlno8PtBoNecvD0mHW9JeTn4Ho83Yncwn9qvYjPE84b//1NhtPbrQ7TqppIVBK3ZnArNB1EfQ9AGVbwrZp1s1nVy/ancx2/r7+fBrxKXky5eHlRS9z7JJ7DOSnhUApded8fCAoB7QdC01HwMFl8FVtiNptdzLbZQ/Mzuf1P+da3DVeXPiiW8xspoVAKXVvwjtDq2/gfKTVq+jckdtv4+GKZS/GR3U/Yt+5ffRb1o84F78hTwuBUurehbWD5/+Ga1fgp3YQfcHuRLarVaAWfav2ZfGRxYzcMNLuOCnSQqCUShu5S0O7cXBqt9WAHOd+/enTWsfSHWlfqj1jto7h1z2/2h0nWVoIlFJpp3g9ePQT2Pcn/NQWFn/o1SOYigj9qvWjdv7aDF4xmKWRS+2OlCQtBEqptFXlaag3EI5thMVD4NeuXj1onb+PPx9HfEzJ4JL0XtKbbadcb0wiLQRKqbRXtw/0OwCNh1rDWX9WBVZ+ZXcq22Tyz8QXDb4gOEMwPf/syZGLrtWgroVAKeU8NZ6HJsMgKKd1N/IfveHSSbtT2SIkKISvGn5FbHwszy94nrPRZ+2OlEALgVLKuap3h2fnQKlHYM038F1D2DnL7lS2KJatGJ83+Jx/Lv3Diwtf5ErsFbsjAVoIlFLpwdcfOvwEj0+FC8dgYkdY9X92p7JFpdyVGPrgUDZHbabvkr5ci7d/qkstBEqp9CECJR6yhqYo2QRm94XNk+1OZYuGRRryZvU3WRy5mLf+eot4E29rHh19VCmVvjJktoammNAapveAM/sh9/1w/2NWsfAS7Uu350LMBUZtGEVm/8y8Wf1NxKbj10KglEp//oHQ8Wdr9NLFQ6xl2QpB/begQntbo6WnLuW7cDHmImO2jSFrQFZeqvySLTm0ECil7BGYFZ5bAFfOwMYfrclupnWDdWOhw4/WoHYeTkR4tcqrXIi5wDdbviFLQBY6l+uc7jm0jUApZR8fH8iUC2q/DC+sgjqvwpFVML6l18xxICK8VeMtGoU24pN1nzBl95R0z6CFQCnlGgIywUPvQMeJcGIb/NgWDq/0ijGLfH18+aDOB9QpUIfBKwbz+77f0/X9tRAopVxLyYehzXcQuRa+bwSTnoLYGLtTOd31SW2q5a3GwL8G8sf+P9LtvbUQKKVcT5nm0GsNNHgbdv0BUzpDnP397Z0t0C+Qzxp8RpU8VRiwfACzD8xOl/fVQqCUck05i8MDr0GT4dZ4RV5SDDL6ZeTz+p9TKXcl3lj2BnMOznH6e2ohUEq5turdoPGHsON3+OVJuHLO7kROF+QfxJcNvqRCSAX6L+3PvIPznPp+Ti0EItJYRHaJyF4R6Z/E6xEicl5ENjp+Bjkzj1LKTdXoAY0+gN2z4ePSsP03uxM5XZB/EF8+9CVhIWH0W9qPBYcWOO29xBjjnB2L+AK7gYZAJLAG6GiM2Z5onQigtzGmaWr3Gx4ebtauXZu2YZVS7mH/YpgzAKJ2WpPghD8HecrYncqpLl27TI+Vb7P13G6GVn+LxqXa3NV+RGSdMSY8qdeceUNZNWCvMWa/I8REoDmwPcWtnOSVV15h48aNdry1UiotxfvCmUCIngOxnn9mABAHHA/w54tSg2j8+90VgpQ4sxAUABLPvhAJVE9ivZoisgk4hnV2cMv0PSLSDegGULhwYSdEVUq5DR9fyFXSmvXsyhlw0lUNV+ILlMZQPE9Fp+zfmYUgqdGTbv4XWw8UMcZcEpFHgOlAiVs2MmY0MBqsS0N3E2bEiBF3s5lSSnk8ZzYWRwKFEj0viPVXfwJjzAVjzCXH41mAv4jkcmImpZRSN3FmIVgDlBCRoiISAHQAZiReQUTyimPcVRGp5shz2omZlFJK3cRpl4aMMbEi0guYi3WJ63tjzDYR6eF4/WugDfC8iMQCV4AOxlndmJRSSiXJad1HnUW7jyql1J1Lqfuo3lmslFJeTguBUkp5OS0ESinl5bQQKKWUl3O7xmIRiQIO3eXmuYBTaRjHXXjjcesxew9vPO67OeYixpiQpF5wu0JwL0RkbXKt5p7MG49bj9l7eONxp/Ux66UhpZTycloIlFLKy3lbIRhtdwCbeONx6zF7D2887jQ9Zq9qI1BKKXUrbzsjUEopdRMtBEop5eW8phCISGMR2SUie0Wkv9150oqIFBKRRSKyQ0S2icjLjuU5RGS+iOxx/A5OtM0bjs9hl4g0si/9vRERXxHZICIzHc+94Zizi8gUEdnp+Dev6enHLSKvOv7b3ioiP4tIoKcds4h8LyInRWRromV3fIwiUkVEtjheG3V9mP/bMsZ4/A/WMNj7gGJAALAJKGN3rjQ6tnxAZcfjLMBuoAwwDOjvWN4f+NDxuIzj+DMARR2fi6/dx3GXx/4a8BMw0/HcG475B6CL43EAkN2TjxtrytsDQEbH80nAM552zMCDQGVga6Jld3yMwGqgJtYMkbOBJql5f285I6gG7DXG7DfGxAATgeY2Z0oTxph/jDHrHY8vAjuw/udpjvWlgeN3C8fj5sBEY8xVY8wBYC/W5+NWRKQg8CjwbaLFnn7MWbG+ML4DMMbEGGPO4eHHjTVvSkYR8QOCsGY69KhjNsYsBc7ctPiOjlFE8gFZjTErjFUVxiXaJkXeUggKAEcSPY90LPMoIhIKVAJWAXmMMf+AVSyA3I7VPOWzGAH0BeITLfP0Yy4GRAFjHJfEvhWRTHjwcRtjjgIfAYeBf4Dzxph5ePAxJ3Knx1jA8fjm5bflLYUgqetkHtVvVkQyA1OBV4wxF1JaNYllbvVZiEhT4KQxZl1qN0limVsds4Mf1uWDr4wxlYB/sS4ZJMftj9txXbw51iWQ/EAmEXkipU2SWOZWx5wKyR3jXR+7txSCSKBQoucFsU4vPYKI+GMVgR+NMb86Fp9wnCri+H3SsdwTPovaQDMROYh1ma++iEzAs48ZrOOINMascjyfglUYPPm4HwIOGGOijDHXgF+BWnj2MV93p8cY6Xh88/Lb8pZCsAYoISJFRSQA6ADMsDlTmnD0CvgO2GGM+STRSzOApx2PnwZ+S7S8g4hkEJGiQAmsBia3YYx5wxhT0BgTivVvudAY8wQefMwAxpjjwBERKeVY1ADYjmcf92GghogEOf5bb4DVDubJx3zdHR2j4/LRRRGp4fisnkq0Tcrsbi1Px1b5R7B61OwD3rQ7TxoeVx2s07/NwEbHzyNATuBPYI/jd45E27zp+Bx2kcpeBa76A0TwX68hjz9moCKw1vHvPR0I9vTjBv4H7AS2AuOxest41DEDP2O1gVzD+sv+ubs5RiDc8TntAz7HMXrE7X50iAmllPJy3nJpSCmlVDK0ECillJfTQqCUUl5OC4FSSnk5LQRKKeXltBAodQ9EJFREOt3FdsMdI2oOF5EQEVnlGDbiAWfkVCol2n1UqXsgIhFAb2NM0zvc7gIQYoy5KiIdsPqCP3277ZRyBj0jUOomIvKUiGwWkU0iMt6xbKyItEm0ziXHw6HAAyKyUURevWk/4viLf6tjjPj2juUzgEzAKhHphzXc8COOfWRMj2NUKjE/uwMo5UpEpCzWXZu1jTGnRCTHbTbpT/JnBK2w7gSuAOQC1ojIUmNMMxG5ZIyp6HjPE0C4MaZXWh2HUndCzwiUulF9YIox5hSAMebmMeLvRB3gZ2NMnDHmBLAEqJoGGZVKU1oIlLqRkPTQvbE4/n9xDOgVkMp9KeXytBAodaM/gXYikhOseWMdyw8CVRyPmwP+jscXsaYITcpSoL1YcyuHYM0u5q4jYSoPpoVAqUSMMduA94ElIrIJuD609zdAXRFZDVTHmhQGrFFAYx0Ny6/etLtpjtc3AQuBvsYaSlopl6LdR5VSysvpGYFSSnk5LQRKKeXltBAopZSX00KglFJeTguBUkp5OS0ESinl5bQQKKWUl/t/IQVPB0a8zBcAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers for toy example (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Toy threatening clusters')\n", + "plt.savefig('./images/supp/Supp_threatening_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ROC\n", + "Classifying based on cluster size (large cluster size resulting in a prediction of a training sample is considered a True positive)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom(dist_list):\n", + " '''Compute roc curve for candidate in pixel, feature space and toy example'''\n", + " \n", + " # Getting labels based on origin from candidate dataset\n", + " train_list = dist_list[:334]\n", + " val_list = dist_list[334:667]\n", + " test_list = dist_list[667:]\n", + "\n", + " # Running normalization on the distance to get values between 0 and 1\n", + " # normalize val vs train\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " \n", + " # normalize test vs train\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " \n", + " # define positive and negative labels\n", + " # ealier samples are always training so labeled as positive\n", + " labels = np.concatenate((np.ones([334]), np.zeros([333])))\n", + "\n", + " # Get false positve and true positive rate\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Get clusters\n", + "L2_sort = np.sort(L2_dist.ravel())\n", + "percent_01 = L2_sort[100000]\n", + "neighbourhood_01_L2 = np.sum((L2_dist < percent_01)*1.0, axis=1)\n", + "\n", + "u_sort = np.sort(umap_dist.ravel())\n", + "percent_01 = u_sort[10000]\n", + "neighbourhood_01_umap = np.sum((umap_dist < percent_01)*1.0, axis=1)\n", + "\n", + "a = np.sort(d1_clusters[:1000])[666:][::-1]\n", + "b = np.sort(d1_clusters[1000:2000])[667:][::-1]\n", + "c = np.sort(d1_clusters[2000:])[667:][::-1]\n", + "d = np.concatenate((a,b,c))\n", + "simul_clusters = d*1.0" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Get FPR and TPR\n", + "fpr_L2_val, tpr_L2_val, fpr_L2_test, tpr_L2_test = roc_custom(neighbourhood_01_L2)\n", + "fpr_umap_val, tpr_umap_val, fpr_umap_test, tpr_umap_test = roc_custom(neighbourhood_01_umap)\n", + "fpr_L2_val_simul, tpr_L2_val_simul, fpr_L2_test_simul, tpr_L2_test_simul = roc_custom(simul_clusters)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# L2 clusters\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_L2_val, tpr_L2_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_L2_test, tpr_L2_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_L2_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature space" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Embedding space\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_umap_val, tpr_umap_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_umap_test, tpr_umap_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_umap_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Privacy threatening toy example" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Sy/QH3nXObQFwzu3yME/Z/ncc5B2M+GpFwuXQoUM88MAD9O/fn+7du2NmKgJyWrw8a6gesLXE9DagXallrgaqmtlnwHnABOfcjNJvZGbDgGEADRo0CG/KjLmhx2tvC+/7ikTIvHnzyM/PJzMzk5o1a/odR6KQl4XAynjNlbH+NsDNQDyw1MyWOee+/NE/cm4yMBkgKSmp9HucZcpKkHAXNOoQ1rcV8dKePXt47LHHuO2227jvvvu47777/I4kUczLXUPbgJJXrNQHdpSxzD+dc0edc3uAxUCih5lEoppzjr///e+0aNGC2rVr88tf/tLvSBIDvOwIUoGrzKwxsB3oR+iYQEn/ACaaWRUgjtCuoz97mEkkahUWFlKpUiUWLVrEe++9R/v27f2OJDHCs47AOVcAjAA+BtYDs51zmWY23MyGFy+zHvgnsBZYDkx1zmV4lUkkGjnnmDJlComJieTn5zN58mQVAQkrT4eYcM4tABaUem1SqemXgJe8zCESrTZv3syQIUM4dOgQ77zzDnFxcX5HkhikSw1FKqDCwkKOHj1KXl4e3bt3Z+nSpbRo0cLvWBKjVAhEKpiMjAxuuOEGJk6cyDXXXMOoUaOoUkXjQ4p3VAhEKpAXX3yRzp07M3jwYEaPHu13HAkIfc0QqQC+/fZbGjZsSOPGjVm9erXGB5KIUkcg4qOcnBxGjRpF+/bt2bt3L/369VMRkIhTIRDxyVdffUXLli3Jzs5m7dq11KpVy+9IElCnvWuoeFTRfs65mR7kEYl5Bw8eZMeOHTRu3JjXXnuNW2+91e9IEnAn7AjM7Hwze8rMJprZLRYyEtgE9I1cRJHYMX/+fBISEnj33XepXr26ioBUCCfrCP4K7AeWAvcDowkNA9HLOZfmfTSR2DJ27FjmzJnDjBkz6Ny5s99xRH5wsmMETZxzv3bO/QW4F0gCeqoIiJSfc4733nuPY8eOMWjQINauXasiIBXOyTqC/O+fOOcKzewb59zhCGQSiQlbt27lgQce4Ntvv6V169Y0bdrU70giZTpZR5BoZofM7LCZHQZalpg+FKmAItFo586dtGnThuuvv56VK1fSsGFDvyOJnNAJOwLnnO51J3KasrKyWL58Of379yctLY3LLrvM70gip3Sys4aqm9mjxWcNDSu+Z4CIlKGgoICXX36Z9u3bs2/fPgAVAYkaJ/twf4vQcYIUoAfQHHgkEqFEos24ceNISUlh+fLlNGnSxO84IqflZMcImjnn7is+a6gP0DFCmUSiwrFjx3j++ef58ssvGTNmDP/6179UBCQqnawQlDxrqCACWUSixrJly2jdujWrV6+mRo0axMfHY2Z+xxI5IyfbNdSqxNlBBsQXTxvgnHPne55OpALKzc1l6NChPPvss/Tt21cFQKLeyQrBGufcdRFLIlLBLVq0iLfffpupU6eyZs0aKlXSmI0SG072l+wilkKkAjtw4AD3338/gwYN4q677sLMVAQkppysI7jYzB4/0Uzn3J88yCNSoTjn+PDDD4mLiyMjI4Pzz9ceUYk9JysElYEahI4JiATKzp07GTlyJH369GHAgAEMGDDA70ginjlZIch2zv0uYklEKgDnHDNnzuSJJ55g0KBB3HbbbX5HEvHcyQqBOgEJlPz8fKpUqcLSpUtZsGABbdq08TuSSESc7IjXzRFLIeKjoqIiXn/9dVq2bEl+fj6vvfaaioAEyskGndsXySC+yNkHe7OgbqLfScQnX3/9NYMGDaKgoIC5c+cSFxfndySRiAvuOXBf/Qv+2Dj0PO5cf7NIxBUUFHDkyBEKCgq46667SElJoVmzZn7HEvFFcAvBqjdDj017wC3jfI0ikZWWlka7du144403aNq0KY888giVK2vUdQmu4BYCgIubwb3vQPUL/E4iEfK73/2OW265hYceeohRo0b5HUekQtA9BiQQNm3aRJMmTWjWrBlr1qyhbt26fkcSqTCC3RFIzDty5AgPP/wwHTt2ZN++ffTp00dFQKQUTwuBmXUzs41mlmVmY0+yXFszKzSzPl7m+cGqv8L6+RFZlfhn48aNtGjRgkOHDpGens5FF13kdySRCsmzXUNmVhl4DegKbANSzWyec25dGcv9J/CxV1l+Yseq0GOnE9YmiWL79u0jOzubK6+8kmnTptGlSxe/I4lUaF52BNcDWc65Tc6548AsoFcZy40E5gK7PMzyU+fWgWZlxZFoNnfuXBISEpg/fz7VqlVTERApBy8PFtcDtpaY3ga0K7mAmdUD7gC6AG1P9EZmNgwYBtCgQYOwB5XYMGrUKD744ANmz55Nhw4d/I4jEjW87AjKGquo9D0OXgHGOOcKT/ZGzrnJzrkk51xSnTp1wpVPYoBzjtmzZ5OXl8fw4cNJS0tTERA5TV52BNuAy0tM1wd2lFomCZhVfKu/2kAPMytwzr3vYS6JEZs3b2bYsGHs3r2b9u3bc+WVV/odSSQqedkRpAJXmVljM4sD+gHzSi7gnGvsnGvknGsEzAEeVBGQ8vjuu+9o27YtnTt3Zvny5dplKHIWPOsInHMFZjaC0NlAlYHpzrlMMxtePH+SV+uW2LVhwwZSU1NJTk4mIyODSy65xO9IIlHP0+sInHMLnHNXO+eucM6NL35tUllFwDn3a+fcHC/zSPTKz8/n97//PR06dCAnJwdARUAkTDTEhESFF154geXLl7Ny5UoaNmzodxyRmKJCIBVWbm4uL7zwAr/61a94+umnqVatGsUnFohIGGmsIamQUlJSaNWqFV999RU1a9akevXqKgIiHlFHIBVOTk4OI0eO5MUXX+TOO+/0O45IzAteR7A5BVZMh6KTXsMmPvjoo48YOHAg8fHxrF69WkVAJEKC1xHs2hB6/MVz/uaQH+zdu5fHHnuMlJQUpkyZol1AIhEWvELwvTa/9jtB4DkXGnFk4cKFXHTRRaSnp1OjRg2fU4kET3ALgfgqOzubBx98kH79+nHvvfdy7733+h1JJLCCd4xAfOWcY/r06SQmJtK8eXN69+7tdySRwFNHIBFz/Phxqlatypo1a/jkk09ITEz0O5KIoI5AIqCwsJBXXnmFli1bkp+fz4QJE1QERCoQdQTiqS+//JJf/epXxMXFMW/ePOLi4vyOJCKlqBCIJ44fP05eXh5mxsCBA/mP//gPKlVSAypSEen/TAm7FStWkJSUxJQpU7jqqqt44IEHVAREKjB1BBJWv/3tb5k8eTJ/+tOf6N+/v99xRKQcVAgkLL788kuuvvpq2rRpQ3p6OhdffLHfkUSknNSvy1k5dOgQDzzwAF26dGH//v307t1bRUAkyqgQyBnbsGEDCQkJFBYWkpGRwYUXXuh3JBE5A9o1JKdtz5497Nixg6ZNmzJz5kw6duzodyQROQvqCKTcnHPMmjWLhIQEFi5cSLVq1VQERGKAOgIpt8cff5yFCxfyj3/8g3bt2vkdR0TCRB2BnJRzjpkzZ5KXl8fIkSNZtWqVioBIjFFHICf09ddfM3ToUA4fPsxNN91EkyZN/I4kIh5QRyBlys7Opn379vzyl79k6dKl1K9f3+9IIuIRdQTyIxkZGaSmpjJo0CDWr19P7dq1/Y4kIh5TRyBAaJC4559/ns6dO1NUVASgIiASEOoIBIAXXniBtLQ0Vq9erd1AIgGjQhBgOTk5PPfccwwePJjf/va3VK1aFTPzO5aIRJh2DQXUp59+SsuWLdm+fTu1a9cmLi5ORUAkoNQRBFBOTg6jR4/mlVdeoWfPnn7HERGfedoRmFk3M9toZllmNraM+QPMbG3xzxIz041sPTR//nwGDBhAfHw8qampKgIiAnjYEZhZZeA1oCuwDUg1s3nOuXUlFvsGuMk5t9/MugOTAV22Gma7d+/m4YcfJjU1lalTp2oXkIj8iJcdwfVAlnNuk3PuODAL6FVyAefcEufc/uLJZYBOVwkj5xzOORYtWkT9+vVZu3YtnTp18juWiFQwXhaCesDWEtPbil87kSHAR2XNMLNhZrbCzFbs3r07jBFj19atW7ntttuYPXs2/fr146WXXuKcc87xO5aIVEBeFoKy9j+4Mhc060yoEIwpa75zbrJzLsk5l1SnTp0wRow9zjkmTZpE69atadeuHXfccYffkUSkgvPyrKFtwOUlpusDO0ovZGYtgalAd+fcXg/zxLy8vDyqVatGVlYWn332Gc2bN/c7kohEAS87glTgKjNrbGZxQD9gXskFzKwB8C6Q7Jz70sMsMa2goICXX36ZVq1a/fBcRUBEysuzjsA5V2BmI4CPgcrAdOdcppkNL54/CXgWqAW8XnwmS4FzLsmrTLFow4YNJCcnc8EFF7BgwQKqVq3qdyQRiTKeXlDmnFsALCj12qQSz+8H7vcyQ6w6duwYeXl5VKlSheHDhzN48GCdFioiZyR4Q0ysmOZ3grO2dOlSrrvuOqZPn86VV17JkCFDVARE5IwFc4iJri/4neCMjR07lrfeeosJEyZw9913+x1HRGJA8DoCgFb9/U5w2tatC12Q3aFDBzIyMujbt6+6ABEJi2AWgihy4MABhgwZQvfu3dm/fz89e/akVq1afscSkRiiQlCBrVu3jubNm1O9enXS09O58MIL/Y4kIjEomMcIKridO3eSnZ1Ns2bNmDNnDj/72c/8jiQiMUwdQQXinGPGjBm0bNmSTz/9lLi4OBUBEfGcOoIK5OGHHyYlJYUFCxbQpk0bv+OISECoI/BZUVERb775Jrm5uYwaNYrU1FQVARGJKHUEPtq4cSP3338/hYWFdO3alYYNG/odSUQCSB2BT7Kzs+nYsSN9+vQhJSWFevVOdqsGERHvqCOIsLS0NFJTUxk6dCgbN27UKaEi4jt1BBGSl5fHb37zG2655RaqVasGoCIgIhWCOoIIGTduHBs2bGDt2rVceumlfscREfmBCoGHjhw5wjPPPMPQoUN57rnndK8AEamQtGvIIwsXLiQhIYEDBw5Qt25dFQERqbDUEXggJyeHZ599lr/85S/ceuu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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Privacy threatening toy example\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_L2_val_simul, tpr_L2_val_simul, color='C1', label='L2 val')\n", + "plt.plot(fpr_L2_test_simul, tpr_L2_test_simul, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_threatening_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/.ipynb_checkpoints/6_density_plot-checkpoint.ipynb b/src/manuscript/Privacy/.ipynb_checkpoints/6_density_plot-checkpoint.ipynb new file mode 100644 index 0000000..9dc5ccb --- /dev/null +++ b/src/manuscript/Privacy/.ipynb_checkpoints/6_density_plot-checkpoint.ipynb @@ -0,0 +1,72674 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Density plot\n", + "The dataset is unevenly destributed and clusters of synthetic can form where clusters of real data form as well" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objects as go" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load UMAP data\n", + "u_real = np.load('../Diversity/diversity_saves/umap_train_full.npy')\n", + "u_fake = np.load('../Diversity/diversity_saves/umap_synth_full.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "x = u_fake[:,0]\n", + "y = u_fake[:,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "x2 = u_real[:,0]\n", + "y2 = u_real[:,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "color_scale = [[0.0, 'white'],\n", + " [0.1, 'rgb(0.99, 0.93, 0.7)'],\n", + " [0.4,'orange'],\n", + " [0.7, 'red'],\n", + " [1.0, 'rgb(0.51, 0.02, 0.15)']]" + ] + }, + { + "cell_type": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = go.Figure()\n", + "\n", + "fig.add_trace(go.Scatter(\n", + " x = x2,\n", + " y = y2,\n", + " xaxis = 'x',\n", + " yaxis = 'y',\n", + " name = 'Real image',\n", + " mode = 'markers',\n", + " marker = dict(\n", + " color = '#1badde',\n", + " opacity=0.3,\n", + " size = 3\n", + " )\n", + " ))\n", + "\n", + "\n", + "fig.add_trace(go.Histogram2dContour(\n", + " x = x,\n", + " y = y,\n", + " colorscale = color_scale,\n", + " reversescale = False,\n", + " xaxis = 'x',\n", + " yaxis = 'y',\n", + " xbins_start=2.5,\n", + " xbins_size=0.2,\n", + " xbins_end=12,\n", + " ybins_start=-4.5,\n", + " ybins_end=6,\n", + " ybins_size=0.2,\n", + " autobinx=False,\n", + " contours_start=0.00005,\n", + " contours_end=0.006,\n", + " autocontour=False,\n", + " histnorm='probability',\n", + " opacity=1,\n", + " colorbar_title_text='Synthetic image
density'\n", + " ))\n", + "fig.update_yaxes(range=[-4, 4])\n", + "fig.update_xaxes(showticklabels=False)\n", + "fig.update_yaxes(showticklabels=False)\n", + "\n", + "\n", + "fig.add_trace(go.Histogram(\n", + " y = y,\n", + " xaxis = 'x2',\n", + " histnorm ='probability',\n", + " ybins_start=-4.5,\n", + " ybins_size=0.2,\n", + " ybins_end=6,\n", + " marker = dict(\n", + " color = 'rgba(0.8,0,0,0.5)'\n", + " )\n", + " ))\n", + "\n", + "fig.add_trace(go.Histogram(\n", + " y = y2,\n", + " xaxis = 'x2',\n", + " histnorm ='probability',\n", + " ybins_start=-4.5,\n", + " ybins_size=0.2,\n", + " ybins_end=6,\n", + " marker = dict(\n", + " color = 'rgba(0.1,0.18,0.36,0.5)'\n", + " )\n", + " ))\n", + "\n", + "fig.update_layout(barmode='overlay')\n", + "fig.add_trace(go.Histogram(\n", + " x = x,\n", + " yaxis = 'y2',\n", + " xbins_start=2.5,\n", + " xbins_size=0.2,\n", + " xbins_end=12,\n", + " histnorm ='probability',\n", + " marker = dict(\n", + " color = 'rgba(0.8,0,0,0.5)'\n", + " )\n", + " ))\n", + "\n", + "fig.add_trace(go.Histogram(\n", + " x = x2,\n", + " yaxis = 'y2',\n", + " xbins_start=2.5,\n", + " xbins_size=0.2,\n", + " xbins_end=12,\n", + " histnorm ='probability',\n", + " marker = dict(\n", + " color = 'rgba(0.1,0.18,0.36,0.5)'\n", + " )\n", + " ))\n", + "fig.update_layout(barmode='overlay')\n", + "\n", + "fig.update_layout(\n", + " autosize = False,\n", + " xaxis = dict(\n", + " zeroline = False,\n", + " domain = [0,0.85],\n", + " showgrid = False\n", + " ),\n", + " yaxis = dict(\n", + " zeroline = False,\n", + " domain = [0,0.85],\n", + " showgrid = False\n", + " ),\n", + " xaxis2 = dict(\n", + " zeroline = False,\n", + " domain = [0.85,1],\n", + " showgrid = False\n", + " ),\n", + " yaxis2 = dict(\n", + " zeroline = False,\n", + " domain = [0.85,1],\n", + " showgrid = False\n", + " ),\n", + " height = 600,\n", + " width = 600,\n", + " bargap = 0,\n", + " hovermode = 'closest',\n", + " showlegend = False,\n", + ")\n", + "\n", + "fig.show()\n", + "fig.write_html(\"./umap_density_contour.html\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/1_prepare_9_64_64_pixel_space.ipynb b/src/manuscript/Privacy/1_prepare_9_64_64_pixel_space.ipynb new file mode 100644 index 0000000..e6bba7e --- /dev/null +++ b/src/manuscript/Privacy/1_prepare_9_64_64_pixel_space.ipynb @@ -0,0 +1,522 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparing dataset size (9, 64, 64)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Saving dataset in reduced size (original synthetic size) for training, validation, test and synthetic\n", + "The hdf5 version of synthetic with labels is the version of data shared with the code" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import torch\n", + "import h5py\n", + "import pickle\n", + "import umap\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from torch.nn.functional import interpolate\n", + "from torch.utils.data import Dataset, DataLoader\n", + "from tqdm.notebook import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "============ Demo information ============\n", + "- Working directory: /src\n", + "- Cuda device: cpu\n", + "==========================================\n" + ] + } + ], + "source": [ + "gpu = torch.cuda.is_available()\n", + "if gpu:\n", + " os.environ['CUDA_VISIBLE_DEVICES'] = '0'\n", + " device = torch.device('cuda:0')\n", + "else:\n", + " device = torch.device('cpu')\n", + " \n", + "if os.path.basename(os.getcwd()) != 'BDI-imaging': # change dir to ROOT\n", + " os.chdir(\"../../\")\n", + "sys.path.insert(0, \"src\")\n", + " \n", + "print('============ Demo information ============')\n", + "print('- Working directory: /{}'.format(os.getcwd().split('/')[-1]))\n", + "print('- Cuda device: {}'.format(device))\n", + "print('==========================================')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# load batchers for each dataset\n", + "from manuscript.Train.restricted.train_dataset import F2305Dataset, spineNet_split\n", + "from manuscript.Train.restricted.test_dataset import A2209Dataset\n", + "from manuscript.Train.restricted.synthetic_dataset import SynthDataset\n", + "from manuscript.Train.batchers import F2305Batcher, A2209Batcher, SynthBatcher" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "image_shape = (9, 64, 64)\n", + "batch_size = 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### F2305 training fold\n", + "Reading images from the training set with the batcher and saving them as a hdf5 file with labels. Splitting F2305 into train and validation." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['train']\n", + "print(\"Training using F2305...\")\n", + "traindata_f = F2305Dataset(shape=image_shape)\n", + "traindata_f.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_f = DataLoader(F2305Batcher(traindata_f.dataset, traindata_f.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "591c31bd023342ea8e89c257c0327b3b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "train_dataset = np.zeros([len(vu_loader_f), 9, 64, 64])\n", + "train_region = np.zeros([len(vu_loader_f), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_f)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " train_dataset[index,:,:,:] = im\n", + " train_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/train_set.h5', 'w')\n", + "h5f.create_dataset('images', data=train_dataset)\n", + "h5f.create_dataset('regions', data=train_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Val" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### F2305 validation fold\n", + "Reading images from the training set with the batcher and saving them as a hdf5 file with labels.\n", + "Selecting validation and test folds from prior work. There is no overlap between patient present in each fold. Validation set has no images from patients in the training set" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Val using F2305...\n" + ] + } + ], + "source": [ + "image_list = spineNet_split()['val'] + spineNet_split()['test']\n", + "print(\"Val using F2305...\")\n", + "valdata = F2305Dataset(shape=image_shape)\n", + "valdata.prepare(label_by=\"reader2\", types=('T1',), subset_fraction=1.0, image_list=image_list)\n", + "\n", + "vu_loader_val = DataLoader(F2305Batcher(valdata.dataset, valdata.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "26cc176365c2498fa5aed364d2d34b3f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "val_dataset = np.zeros([len(vu_loader_val), 9, 64, 64])\n", + "val_region = np.zeros([len(vu_loader_val), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_val)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " val_dataset[index,:,:,:] = im\n", + " val_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/val_set.h5', 'w')\n", + "h5f.create_dataset('images', data=val_dataset)\n", + "h5f.create_dataset('regions', data=val_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Full A2209 dataset as test set\n", + "Reading images from A2209 using the batcher and saving them with labels in a hdf5 format" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test using A2209...\n" + ] + } + ], + "source": [ + "testdata = A2209Dataset(shape=image_shape)\n", + "print(\"Test using A2209...\")\n", + "testdata.prepare(label_by=\"berlin_clinical\", types=('T1',), subset_fraction=1.0)\n", + "\n", + "vu_loader_test = DataLoader(A2209Batcher(testdata.dataset, testdata.scan_path), batch_size=batch_size, \n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ddcde14884a3413a87a553ede8c7bdb8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0), HTML(value=''…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "test_dataset = np.zeros([len(vu_loader_test), 9, 64, 64])\n", + "test_region = np.zeros([len(vu_loader_test), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_test)):\n", + " im = sample['im']\n", + " region = sample['region']\n", + " test_dataset[index,:,:,:] = im\n", + " test_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/test_set.h5', 'w')\n", + "h5f.create_dataset('images', data=test_dataset)\n", + "h5f.create_dataset('regions', data=test_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Synth" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Synthetic dataset\n", + "Reading images from genrated synthetic dataset using the batcher and saving them with labels in a hdf5 format" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Synth dataset...\n" + ] + } + ], + "source": [ + "print(\"Synth dataset...\")\n", + "traindata_synth = SynthDataset()\n", + "\n", + "vu_loader_synth = DataLoader(SynthBatcher(traindata_synth.dataset, traindata_synth.scan_path), batch_size=batch_size,\n", + " shuffle=True, num_workers=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "synth_dataset = np.zeros([len(vu_loader_synth), 9, 64, 64])\n", + "synth_region = np.zeros([len(vu_loader_synth), 1])\n", + "for index, sample in tqdm(enumerate(vu_loader_synth)):\n", + " im = sample['im']\n", + " im = interpolate(im, size=image_shape[1:], mode='bicubic')\n", + " region = sample['region']\n", + " synth_dataset[index,:,:,:] = im\n", + " synth_region[index,:] = region" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/synth_set.h5', 'w')\n", + "h5f.create_dataset('images', data=synth_dataset)\n", + "h5f.create_dataset('regions', data=synth_region)\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Candidate dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We simulate an attack on the synthetic dataset, for this purpose we create a \"candidate dataset\", this dataset is composed of 334 images from the training set (F2305 used in GAN training), 333 from the validation dataset (F2305 not used in GAN training) and 333 from the testing dataset (A2209 not used in training).\n", + "The goal is to assess if it is to tell if a candidate sample comes from the training set when compared with the synthetic data." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# 334 samples from the training set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/train_set.h5', 'r')\n", + "candidate_train = h5f['images'][-334:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# 333 samples from the validation set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/val_set.h5', 'r')\n", + "candidate_val = h5f['images'][-333:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# 333 samples from the test set\n", + "h5f = h5py.File('./manuscript/Privacy/privacy_saves/test_set.h5', 'r')\n", + "candidate_test = h5f['images'][-333:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# Concatenate and save\n", + "candidate = np.concatenate((candidate_train, candidate_val, candidate_test))\n", + "np.save('./manuscript/Privacy/privacy_saves/candidate.npy', candidate)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "candidate = np.load('./manuscript/Privacy/privacy_saves/candidate.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/2_UMAP_64_64.ipynb b/src/manuscript/Privacy/2_UMAP_64_64.ipynb new file mode 100644 index 0000000..dfd884c --- /dev/null +++ b/src/manuscript/Privacy/2_UMAP_64_64.ipynb @@ -0,0 +1,256 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UMAP projection (9, 64, 64)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We examine if the synthetic is privacy preserving both in pixel space and in feature space. In this notebook we create the feature extractor (a UMAP transform reducing to 32 principal components) and apply it to the relevant images in order to obtain their corresponding features." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from torch.utils.data import Dataset, DataLoader\n", + "from tqdm.notebook import tqdm\n", + "from sklearn.metrics import confusion_matrix\n", + "import h5py\n", + "import pickle\n", + "import umap\n", + "import numpy as np\n", + "from scipy.spatial.distance import cdist" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "candidate = np.load('./privacy_saves/candidate.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/synth_set.h5', 'r')\n", + "synth_set = h5f['images'][:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "test_set = h5f['images'][-1000:]\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Train UMAP\n", + "Optionnal can be skipped to load a pre-trained umap. This step usually takes around 30 minutes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "temp_test = h5f['images'][333:1333]\n", + "temp_test = np.array(test_set.reshape([len(temp_test), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/val_set.h5', 'r')\n", + "temp_val = h5f['images'][333:1833]\n", + "temp_val = np.array(test_set.reshape([len(temp_val), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "h5f = h5py.File('./privacy_saves/val_set.h5', 'r')\n", + "temp_train = h5f['images'][1000:3500]\n", + "temp_train = np.array(test_set.reshape([len(temp_train), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "umap_dataset = np.concatenate((temp_test, temp_val, temp_train))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Training UMAP\n", + "# Umap projects into \n", + "trans = umap.UMAP(n_neighbors=20, random_state=10, min_dist = 0.0,\n", + " n_components=32).fit(umap_dataset.reshape([5000, 9*64*64]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the trained UMAP object using pickle\n", + "f_name = './privacy_saves/umap_privacy_5000.sav'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load UMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "f_name = './privacy_saves/umap_privacy_5000.sav'\n", + "loaded_model = pickle.load((open(f_name, 'rb')))\n", + "print(type(loaded_model))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transform with UMAP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform Test with UMAP\n", + "Used as a reference features in embedding space (since test samples can help define the notion of outliers). Only used in supplemental figure in notebook 4_plot_pairwise_attacks.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "test_umap = loaded_model.transform(test_set.reshape([len(test_set), 9*64*64]))\n", + "np.save('./privacy_saves/u_test.npy', test_umap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform synth with UMAP\n", + "Synthetic images to feature space. Used in all privacy attacks that happend in feature space.
\n", + "Please note that this step takes a very long time because the synthetic dataset is very large." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "synth_umap = loaded_model.transform(synth_set.reshape([len(synth_set), 9*64*64]))\n", + "np.save('./privacy_saves/u_synth.npy', synth_umap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transform candidate with UMAP\n", + "Candidates images projected to feature space. Used in all privacy attacks that happend in feature space. If a candidate that originated from training shares the same features as one or many synthetic samples and can easily be identified as such, then it can be considered as privacy threatening." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "candidate_umap = loaded_model.transform(candidate.reshape([len(candidate), 9*64*64]))\n", + "np.save('./privacy_saves/u_candidate.npy', candidate_umap)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "fda-env torchvision", + "language": "python", + "name": "fda-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/3_compute_distances.ipynb b/src/manuscript/Privacy/3_compute_distances.ipynb new file mode 100644 index 0000000..be70684 --- /dev/null +++ b/src/manuscript/Privacy/3_compute_distances.ipynb @@ -0,0 +1,227 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Computing distances\n", + "\n", + "Preprocessing and computing distances for pairwise attacks. Distances are calculated both in pixel and feature space" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.lines import Line2D\n", + "import umap\n", + "import h5py\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import gaussian_kde" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "#Loading synthetic, candidate and test set\n", + "candidate = np.load('./privacy_saves/candidate.npy')\n", + "candidate_flat = candidate.reshape([len(candidate), 9*64*64])\n", + "\n", + "h5f = h5py.File('./privacy_saves/synth_set.h5', 'r')\n", + "synth_set = h5f['images'][:]\n", + "synth_set = np.array(synth_set.reshape([len(synth_set), 9*64*64]))\n", + "h5f.close()\n", + "\n", + "# Only used in supplemental as a reference for distances\n", + "h5f = h5py.File('./privacy_saves/test_set.h5', 'r')\n", + "test_set = h5f['images'][:]\n", + "test_set = np.array(test_set.reshape([len(test_set), 9*64*64]))\n", + "h5f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space L2 distance between candidate and synthetic" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "adf936e15cc54f1da94b4ade3b7f7d4d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "L2_dist = np.zeros([len(candidate_flat), len(synth_set)])\n", + "\n", + "# We split the data into 20 chunks and compute distances per chunk to track progress with tqdm \n", + "# with synth_set of len 10'000\n", + "for split in tqdm(range(20)):\n", + " curr_dist = cdist(candidate_flat,\n", + " synth_set[split*500:(split+1)*500])\n", + " L2_dist[:, split*500:(split+1)*500] = curr_dist\n", + " \n", + "dist_candidate = (L2_dist.min(axis=1))/np.median(L2_dist, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space L2 distance between test (1000 samples) and synthetic, only used in supplemental as reference distance" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e3828a1c863643408dc4d201998c03df", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "L2_test_dist = np.zeros([1000, 10000])\n", + "\n", + "# We split the data into 20 chunks and compute distances per chunk to track progress with tqdm \n", + "# with synth_set of len 10'000\n", + "for split in tqdm(range(10)):\n", + " curr_dist = cdist(test_set[:1000].reshape([1000, 36864]),\n", + " synth_set[split*1000:(split+1)*1000])\n", + " L2_test_dist[:, split*1000:(split+1)*1000] = curr_dist" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "np.save('./privacy_saves/L2_candidate_syth.npy', L2_dist)\n", + "np.save('./privacy_saves/L2_test_synth.npy', L2_test_dist)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature distance" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# Load feature space data\n", + "u_candidate = np.load('./privacy_saves/u_candidate.npy', allow_pickle=True)\n", + "u_synth = np.load('./privacy_saves/u_synth.npy', allow_pickle=True)\n", + "u_test = np.load('./privacy_saves/u_test.npy', allow_pickle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Compute distances\n", + "# Candidate-synthetic\n", + "umap_dist_candidate_synth = cdist(u_candidate, u_synth[:])\n", + "# Test-synthetic\n", + "umap_dist_test_synth = cdist(u_test[:1000], u_synth[:])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "np.save('./privacy_saves/umap_dist_candidate_synth.npy', umap_dist_candidate_synth)\n", + "np.save('./privacy_saves/umap_dist_test_synth.npy', umap_dist_test_synth)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/4_plot_pairwise_attacks.ipynb b/src/manuscript/Privacy/4_plot_pairwise_attacks.ipynb new file mode 100644 index 0000000..1fb1484 --- /dev/null +++ b/src/manuscript/Privacy/4_plot_pairwise_attacks.ipynb @@ -0,0 +1,859 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pairwise attacks\n", + "### Analysis and visualization\n", + "With pairwise attacks we check if it is possible to trace back an image from the candidate dataset back to the training set by finding a very similar image in the synthetic set.
\n", + "We run the analysis by looking at the most similar pairs between candidate and synthetic samples and assess if this similarity is a strong enough parameter for reliably identifying training samples." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.lines import Line2D\n", + "import umap\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import gaussian_kde\n", + "from sklearn.metrics import roc_curve, auc" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Loading data" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading pixel space distances\n", + "L2_dist = np.load('./privacy_saves/L2_candidate_syth.npy', allow_pickle=True)\n", + "L2_dist_test = np.load('./privacy_saves/L2_test_synth.npy', allow_pickle=True)\n", + "norm_L2_dist = (L2_dist.min(axis=1))/np.median(L2_dist, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Loading feature space distances\n", + "umap_dist_candidate_synth = np.load('./privacy_saves/umap_dist_candidate_synth.npy', allow_pickle=True)\n", + "umap_dist_test_synth = np.load('./privacy_saves/umap_dist_test_synth.npy', allow_pickle=True)\n", + "norm_umap_dist = (umap_dist_candidate_synth.min(axis=1))/np.median(umap_dist_candidate_synth, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a and b represent training samples; c represents validation; d represents testing samples\n", + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=4, nrows=1, figsize=(18, 3))\n", + "\n", + "# 1st figure is histogram of the distances of the toy distribution\n", + "# This represents a privacy threatening case \n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[0].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "ax[0].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# 2nd figure is histogram of the toy distribution with subdistribution based on the origins of samples overlayed on top\n", + "# This represents a privacy threatening case \n", + "\n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[1].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# 3rd figure is histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# with subdistribution based on the origins of samples overlayed on top\n", + "\n", + "hand_bins = np.linspace(0.5,0.95,30)\n", + "kde_lag = np.linspace(0.5,0.95,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[2].hist(norm_L2_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_L2_dist[:334], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_L2_dist[334:667], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_L2_dist[667:], bw_method=0.25)\n", + "ax[2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[2].set_xlabel('Min distance')\n", + "\n", + "\n", + "###########\n", + "# 3rd figure is histogram of the observed distribution of the closest pairs based on similarity in feature space\n", + "# (L2 dist on features) with subdistribution based on the origins of samples overlayed on top\n", + "\n", + "hand_bins = np.linspace(0,0.5,30)\n", + "kde_lag = np.linspace(0,0.5,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[3].hist(norm_umap_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_umap_dist[:334], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0', label='candidates from train')\n", + "density_2 = gaussian_kde(norm_umap_dist[334:667], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1', label='candidates from val')\n", + "density_3 = gaussian_kde(norm_umap_dist[667:], bw_method=0.2)\n", + "ax[3].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2', label='candidates from test')\n", + "ax[3].set_xlabel('Min distance')\n", + "\n", + "fig.legend(loc='upper right', bbox_to_anchor=(0.91,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "plt.savefig('./images/privacy_distance_top.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Supplemental" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Histograms with reference" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a and b represent training samples; c represents validation; d represents testing samples\n", + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=3, nrows=2, figsize=(15, 6))\n", + "\n", + "# (Row 1, Col 1) figure is histogram of the toy distribution with \n", + "# subdistribution based on the origins of samples overlayed on top. This represents a privacy threatening case\n", + "\n", + "hand_bins = np.linspace(0.3,0.95,30)\n", + "kde_lag = np.linspace(0.3,0.95,300)\n", + "ax[0, 0].hist(simulated_distribution[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[0, 0].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 0].set_xlabel('Min distance as ratio of the median')\n", + "\n", + "###########\n", + "# (Row 1, Col 2) histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0.5,0.95,30)\n", + "kde_lag = np.linspace(0.5,0.95,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[0, 1].hist(norm_L2_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_L2_dist[:334], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_L2_dist[334:667], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_L2_dist[667:], bw_method=0.25)\n", + "ax[0, 1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 1].set_xlabel('Min L2 distance as ratio of the median')\n", + "\n", + "\n", + "###########\n", + "# (Row 1, Col 3) histogram of the observed distribution of the closest pairs based on similarity in feature space \n", + "# (L2 dist on features); subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0,0.5,30)\n", + "kde_lag = np.linspace(0,0.5,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[0, 2].hist(norm_umap_dist[:], color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(norm_umap_dist[:334], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(norm_umap_dist[334:667], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(norm_umap_dist[667:], bw_method=0.2)\n", + "ax[0, 2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[0, 2].set_xlabel('Min distance as ratio of the median')\n", + "\n", + "\n", + "###########\n", + "# (Row 2, Col 1) figure is histogram of the toy distribution.\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# subdistribution based on the origins of samples overlayed on top. This represents a privacy threatening case\n", + "\n", + "a = (np.random.gamma(shape= 5, scale=0.75,size=450)+7)*2\n", + "b = (np.random.gamma(shape= 4, scale=1,size=50)+13)*2.1\n", + "c = (np.random.gamma(shape= 4, scale=1,size=500)+13)*2.1\n", + "d = (np.random.gamma(shape= 4, scale=1,size=500)+13)*2.3\n", + "\n", + "e = (np.random.gamma(shape= 4, scale=1,size=500)+12.9)*2.34\n", + "simulated_distribution = np.concatenate((a,b,c,d))\n", + "\n", + "\n", + "hand_bins = np.linspace(9,50,25)\n", + "kde_lag = np.linspace(9,50,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 0].hist(simulated_distribution, color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "ax[1, 0].hist(e, color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(np.concatenate((a,b)), bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "\n", + "density_2 = gaussian_kde(c, bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "\n", + "density_3 = gaussian_kde(d, bw_method=0.25)\n", + "ax[1, 0].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1, 0].set_xlabel('Min distance')\n", + "\n", + "###########\n", + "# (Row 1, Col 2) histogram of the observed distribution of the closest pairs based on similarity in pixel space (L2 dist)\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(9,50,25)\n", + "kde_lag = np.linspace(9,50,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 1].hist(L2_dist[:].min(axis=1), color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "ax[1, 1].hist(L2_dist_test[:].min(axis=1), color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled')\n", + "\n", + "density_1 = gaussian_kde(L2_dist[:334].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0')\n", + "density_2 = gaussian_kde(L2_dist[334:667].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1')\n", + "density_3 = gaussian_kde(L2_dist[667:].min(axis=1), bw_method=0.2)\n", + "ax[1, 1].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2')\n", + "ax[1, 1].set_xlabel('Min L2 distance')\n", + "\n", + "\n", + "\n", + "###########\n", + "# (Row 1, Col 3) histogram of the observed distribution of the closest pairs based on similarity in feature space\n", + "# Reference distance given by test vs synthetic to define outliers \n", + "# (L2 dist on features); subdistribution based on the origins of samples overlayed on top.\n", + "\n", + "hand_bins = np.linspace(0,1.10,30)\n", + "kde_lag = np.linspace(0,1.10,300)\n", + "\n", + "cmap = plt.get_cmap(\"Paired\")\n", + "ax[1, 2].hist(umap_dist_candidate_synth[:].min(axis=1), color=[0.85, 0.85, 0.85],bins=hand_bins ,alpha=1,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled', label='distance candidate-synthetic')\n", + "ax[1, 2].hist(umap_dist_test_synth[:].min(axis=1), color=[0.3, 0.85, 0.3, 0.2],bins=hand_bins,density=True,lw=1.5,\n", + " edgecolor=\"black\", histtype='stepfilled', label='distance test-synthetic')\n", + "\n", + "density_1 = gaussian_kde(umap_dist_candidate_synth[:334].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_1(kde_lag), linestyle='--', lw=2, color='C0', label='candidates from train')\n", + "density_2 = gaussian_kde(umap_dist_candidate_synth[334:667].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_2(kde_lag), linestyle='--', lw=2, color='C1', label='candidates from val')\n", + "density_3 = gaussian_kde(umap_dist_candidate_synth[667:].min(axis=1), bw_method=0.25)\n", + "ax[1, 2].plot(kde_lag,density_3(kde_lag), linestyle='--', lw=2, color='C2', label='candidates from test')\n", + "ax[1, 2].set_xlabel('Min embedding distance')\n", + "fig.legend(loc='upper right', bbox_to_anchor=(0.97,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "plt.savefig('./images/privacy_distance.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Redefine simulated distribution\n", + "For supplemental figure subplot 2nd row, 1st column, simulated distribution is tweaked to match the range of observed values. We rectify that to match the main plot." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.random.beta(9, 4, 450)*0.4 +0.25\n", + "b = np.random.beta(12, 7, 50)*0.5 +0.4\n", + "c = np.random.beta(12, 7, 500)*0.5 +0.47\n", + "d = np.random.beta(9, 3, 500)*0.52 +0.4\n", + "simulated_distribution = np.concatenate((a,b,c,d))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Anomaly detection Cut off\n", + "Quantitative analysis of information from training carried over into the synthetic dataset.
\n", + "We define a threshold (cut off) based on distances/similarity after which the samples are considered outliers. We then compare the proportion of these outliers coming from train/validation/test.
\n", + "Privacy threatening is when most of the outliers come from train." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred(dist, cut_off=100):\n", + " '''For run classification for the top N (cut off) smallest distances\n", + " 'dist' are the distances from candidates (either L2 in pixel or L2 in feature space)\n", + " First 334 indexes of candidates distances are training, next 333 are val, final 333 are test\n", + " After sorting we look at the original index to classify based on distance\n", + " Returns the proportion of training vs validation + training and proportion of training vs test + training'''\n", + " \n", + " ind_sort_dist = np.argsort(dist)[:cut_off]\n", + " pred_train = ind_sort_dist[ind_sort_dist<334]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<334)]\n", + " pred_val = temp[temp<667]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<667)]\n", + " pred_test = temp[temp<1001]\n", + " \n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return len(pred_train)/(len(pred_val)+len(pred_train)), len(pred_train)/(len(pred_test)+len(pred_train)), percent" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred_custom(dist, cut_off=100):\n", + " '''Same as origin_pred expect it works for the toy/simulated privacy threatening dataset\n", + " 500 first distances are from training, 500 next are val and last 500 are test'''\n", + " ind_sort_dist = np.argsort(dist)[:cut_off]\n", + " pred_train = ind_sort_dist[ind_sort_dist<500]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<500)]\n", + " pred_val = temp[temp<1000]\n", + " \n", + " temp = ind_sort_dist[~(ind_sort_dist<1000)]\n", + " pred_test = temp[temp<1501]\n", + "\n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return len(pred_train)/(len(pred_val)+len(pred_train)), len(pred_train)/(len(pred_test)+len(pred_train)), percent" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# Cut off for printing intermediate results\n", + "cut_off = 333" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.83\n", + "train 0.48, val 0.43, test 0.09\n" + ] + } + ], + "source": [ + "# Classify for pixel space (val and test)\n", + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(norm_L2_dist, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot for anomaly detection in pixel space (native L2 distance)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('L2 distance')\n", + "plt.savefig('./images/supp/Supp_L2_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.69\n", + "train 0.43, val 0.38, test 0.19\n" + ] + } + ], + "source": [ + "# Classify for feature space (val and test)\n", + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(norm_umap_dist, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + " \n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot for anomaly detection in feature space\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Umap distance')\n", + "plt.savefig('./images/supp/Supp_umap_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 1.00\n", + "test 1.00\n", + "train 1.00, val 0.00, test 0.00\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 1499):\n", + " val, test, percent = origin_pred_custom(simulated_distribution, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + " \n", + "print('val {:.2f}'.format(class_list_val[cut_off]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off][0],\n", + " percent_list[cut_off][1],\n", + " percent_list[cut_off][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('toy threatening')\n", + "plt.savefig('./images/supp/Supp_threatening_dist_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ROC curve\n", + "Classifying based on distance (low distance being resulting in a prediction of a training sample is considered a True positive)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom(dist_list):\n", + " '''Compute roc curve for candidate in pixel and feature space'''\n", + " \n", + " # Getting labels based on origin from candidate dataset\n", + " train_list = dist_list[:334]\n", + " val_list = dist_list[334:667]\n", + " test_list = dist_list[667:]\n", + " \n", + " # Running normalization on the distance to get values between 0 and 1\n", + " # normalize val vs train\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " norm_val = 1 - norm_val\n", + " \n", + " # normalize test vs train\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " norm_test = 1 - norm_test\n", + " \n", + " # define positive and negative labels\n", + " # ealier samples are always training so labeled as positive\n", + " labels = np.concatenate((np.ones([334]), np.zeros([333])))\n", + " \n", + " # Get false positve and true positive rate\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom_simul(dist_list):\n", + " '''Compute roc curve for Toy example\n", + " Only difference is the sample size being on 1500 points instead of 1000\n", + " refer to roc_custom for details'''\n", + " train_list = dist_list[:500]\n", + " val_list = dist_list[500:1000]\n", + " test_list = dist_list[1000:]\n", + "\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " norm_val = 1 - norm_val\n", + "\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " norm_test = 1 - norm_test\n", + "\n", + " labels = np.concatenate((np.ones([500]), np.zeros([500])))\n", + "\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "# Run roc curve for pixel space and feature space\n", + "fpr_val, tpr_val, fpr_test, tpr_test = roc_custom(norm_L2_dist)\n", + "fpr_umap_val, tpr_umap_val, fpr_umap_test, tpr_umap_test = roc_custom(norm_umap_dist)\n", + "# Run custom for simulated distribution\n", + "fpr_val_simul, tpr_val_simul, fpr_test_simul, tpr_test_simul = roc_custom_simul(simulated_distribution)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot ROC curve for Pixel space (Native L2)\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_val, tpr_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_test, tpr_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_L2_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot ROC curve for Feature space (Embedding with umap)\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_umap_val, tpr_umap_val, color='C1', lw=2, label='umap val')\n", + "plt.plot(fpr_umap_test, tpr_umap_test, color='C2', lw=2, label='umap test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_umap_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Run on toy example with privacy threatening behavior\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_val_simul, tpr_val_simul, color='C1', label='L2 val')\n", + "plt.plot(fpr_test_simul, tpr_test_simul, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_threatening_pairwise.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/5_plot_density_attacks.ipynb b/src/manuscript/Privacy/5_plot_density_attacks.ipynb new file mode 100644 index 0000000..fda8b91 --- /dev/null +++ b/src/manuscript/Privacy/5_plot_density_attacks.ipynb @@ -0,0 +1,783 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Density attacks\n", + "### Analysis and visualization\n", + "We check if, when one image from candidate looks similar to many synthetic samples (many synthetic images cluster around a candidate) it can betray that this image was used in trainign.
\n", + "We run the analysis by looking at the largest clusters of synthetic data around a candidate and checking if the candidate was from training" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import umap\n", + "import pandas as pd\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.stats import rankdata\n", + "from tqdm.notebook import tqdm\n", + "import pickle\n", + "from sklearn.metrics import roc_curve, auc\n", + "from matplotlib.lines import Line2D\n", + "from matplotlib import cm\n", + "from matplotlib.colors import ListedColormap, LinearSegmentedColormap" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load experimental data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "umap_dist = np.load('./privacy_saves/umap_dist_candidate_synth.npy')\n", + "L2_dist = np.load('./privacy_saves/L2_candidate_syth.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generate data for privacy threatening example" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# We simulate images coming from different datasets.\n", + "# An image is a vector of size 1x64\n", + "\n", + "# We define synthetic as the base dataset\n", + "# Candidates from training to be a subset of slightly altered synthetic images\n", + "# Canditates from training to be a subset of altered synthetic images\n", + "# Candidates from training to be a subset of very altered synthetic images\n", + "\n", + "# This is not representative of the process GAN goes throught, the goal is just to create a \n", + "# visualization that helps with understanding the other plots through an extreme case\n", + "\n", + "dim_size = 64\n", + "size = 2000\n", + "\n", + "# 2000 base synthetic images as random gaussian noise\n", + "synthetic_threatening = np.random.randn(dim_size, size)\n", + "\n", + "# augmenting the synthetic dataset with variation of the 2000 base images\n", + "# (additive and multiplicative noise)\n", + "synthetic_threatening = np.concatenate((synthetic_threatening, synthetic_threatening + np.random.randn(dim_size, size)*0.1, \n", + " synthetic_threatening*(0.975 + np.random.rand(dim_size, size)*0.05) + np.random.randn(dim_size, size)*0.15,\n", + " np.random.randn(dim_size, size),\n", + " synthetic_threatening*(0.95 + np.random.rand(dim_size, size)*0.1) + np.random.randn(dim_size, size)*0.2),\n", + " axis=1)\n", + "len_syn_th = synthetic_threatening.shape[1]\n", + "\n", + "# training is a randomly sampled slightly altered version of the synthetic training\n", + "train_threatening = np.random.permutation(synthetic_threatening)*(0.975 + np.random.rand(dim_size, len_syn_th)*0.05) + np.abs(np.random.randn(dim_size, len_syn_th)*0.15)\n", + "train_threatening = train_threatening[:,:1000]\n", + "\n", + "# validation is a randomly sampled slightly altered version of the synthetic training\n", + "t = 0.45\n", + "val_threatening = np.random.permutation(synthetic_threatening) + (t +np.random.randn(dim_size, len_syn_th)*t)**2\n", + "val_threatening = val_threatening[:,:1000]\n", + "\n", + "# testing is a randomly sampled slightly altered version of the synthetic training\n", + "t = 0.5\n", + "test_threatening = np.random.permutation(synthetic_threatening) + (t + np.random.randn(dim_size, len_syn_th)*t)**2\n", + "test_threatening = test_threatening[:,:1000]\n", + "\n", + "# The candidates samples are 1000 images from each origin\n", + "candidate_th = np.concatenate((train_threatening, val_threatening, test_threatening), axis=1)\n", + "\n", + "# Computing the distances between synthetic and candidates\n", + "d1 = cdist(candidate_th.T, synthetic_threatening.T)\n", + "# rank by distance\n", + "d1_sorted = np.sort(d1.ravel())\n", + "percent_2 = d1_sorted[len(d1_sorted)//50]\n", + "\n", + "# Get clusters\n", + "d1_clusters = np.sum((d1 < percent_2)*1.0, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Relevant global functions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def sort_by_max(a):\n", + " '''Default sorting algorithm is ascendant and does not handle similar values well.\n", + " This function is a quick solution to sort descending with the relevant\n", + " handling of same values'''\n", + " arg_list = []\n", + " temp = np.copy(a)\n", + " for i in range(len(a)):\n", + " ind = np.argmax(temp)\n", + " arg_list.append(ind)\n", + " temp[ind] = -1\n", + " return arg_list" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "'''Colormap for easy plotting'''\n", + "N = 128\n", + "vals = np.ones((2*N, 4))\n", + "\n", + "vals[:, 0] = np.concatenate((np.linspace(31/256, 255/256, N), np.linspace(255/256, 44/256, N)))\n", + "vals[:, 1] = np.concatenate((np.linspace(119/256, 127/256, N), np.linspace(127/256, 160/256, N)))\n", + "vals[:, 2] = np.concatenate((np.linspace(180/256, 14/256, N), np.linspace(14/256, 44/256, N)))\n", + "\n", + "newcmp = ListedColormap(vals)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Main plot: distribution attacks" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Simulating a privacy threatening scenario with 1D samples\n", + "# a represent training samples; b represents validation; c represents testing samples\n", + "\n", + "a = np.sort(d1_clusters[:1000])[666:][::-1]\n", + "b = np.sort(d1_clusters[1000:2000])[667:][::-1]\n", + "c = np.sort(d1_clusters[2000:])[667:][::-1]\n", + "d = np.concatenate((a,b,c))\n", + "d = d*1.0\n", + "d_labels = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))\n", + "\n", + "# Generating matplotlib layout\n", + "fig, ax = plt.subplots(ncols=4, nrows=1, figsize=(18, 3))\n", + "\n", + "\n", + "# figure 1: the rank of cluster vs their size in a privacy threatening case\n", + "\n", + "d_labels_sorted = d_labels[np.argsort(-d)]\n", + "ax[0].scatter(rankdata(-d), d, color='gray',s=15, alpha=1)\n", + "ax[0].set_xlabel('cluster rank')\n", + "ax[0].set_ylabel('cluster size')\n", + "\n", + "###########\n", + "# figure 2: the rank of cluster vs their size with color based on origin\n", + "# This represents a privacy threatening case\n", + "\n", + "d_labels_sorted_threatening = d_labels[np.argsort(-d)]\n", + "ax[1].scatter(rankdata(-d), d, c=d_labels_sorted_threatening, cmap=newcmp, s=15, alpha=0.7)\n", + "ax[1].set_xlabel('cluster rank')\n", + "\n", + "###########\n", + "# figure 3: the rank of cluster vs their size with color based on origin for observed behavior in pixel space\n", + "\n", + "# Define neighborhood as things in a small distance, small distance is bottom 0.1% of distances\n", + "L2_sort = np.sort(L2_dist.ravel())\n", + "percent_01 = L2_sort[100000]\n", + "\n", + "neighbourhood_01_L2 = np.sum((L2_dist < percent_01)*1.0, axis=1)\n", + "\n", + "# Label clusters with their origin\n", + "# From train\n", + "train_clusters_f = neighbourhood_01_L2[:334]\n", + "train_clusters = train_clusters_f[train_clusters_f>0.0]\n", + "\n", + "# From val\n", + "val_clusters_f = neighbourhood_01_L2[334:667]\n", + "val_clusters = val_clusters_f[val_clusters_f>0.0]\n", + "\n", + "# From test\n", + "test_clusters_f = neighbourhood_01_L2[667:]\n", + "test_clusters = test_clusters_f[test_clusters_f>0.0]\n", + "\n", + "'''PLOT Figure 3'''\n", + "perm = np.random.permutation(len(d))\n", + "d = np.concatenate((train_clusters_f, val_clusters_f, test_clusters_f))[perm]\n", + "d_labels = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))[perm]\n", + "d_labels_sorted = d_labels[np.argsort(-d)]\n", + "rank_d = rankdata(-d)\n", + "s_d = np.argsort(sort_by_max(d))\n", + "ax[2].scatter(s_d, d, c=d_labels, cmap=newcmp, s=30, alpha=0.7)\n", + "ax[2].set_xlabel('cluster rank')\n", + "# ax[2].set_ylabel('cluster size')\n", + "\n", + "###########\n", + "# figure 3: the rank of cluster vs their size with color based on origin for observed behavior in pixel space\n", + "\n", + "# Define neighborhood as things in a small distance, small distance is bottom 0.1% of distances\n", + "u_sort = np.sort(umap_dist.ravel())\n", + "percent_01 = u_sort[10000]\n", + "neighbourhood_01_umap = np.sum((umap_dist < percent_01)*1.0, axis=1)\n", + "\n", + "# Label clusters with their origin\n", + "# From train\n", + "train_clusters_f = neighbourhood_01_umap[:334]\n", + "train_clusters = train_clusters_f[train_clusters_f>0.0]\n", + "\n", + "# From val\n", + "val_clusters_f = neighbourhood_01_umap[334:667]\n", + "val_clusters = val_clusters_f[val_clusters_f>0.0]\n", + "\n", + "# From val\n", + "test_clusters_f = neighbourhood_01_umap[667:]\n", + "test_clusters = test_clusters_f[test_clusters_f>0.0]\n", + "\n", + "'''PLOT Figure 4'''\n", + "perm = np.random.permutation(len(d))\n", + "d_umap = np.concatenate((train_clusters_f, val_clusters_f, test_clusters_f))[perm]\n", + "d_labels_umap = np.concatenate((np.ones(334)*0, np.ones(333), np.ones(333)*2.0))[perm]\n", + "d_labels_sorted_umap = d_labels_umap[np.argsort(-d_umap)]\n", + "rank_d = rankdata(-d_umap)\n", + "s_d = np.argsort(sort_by_max(d_umap))\n", + "ax[3].scatter(s_d, d_umap, c=d_labels_umap, cmap=newcmp, s=30, alpha=0.7)\n", + "ax[3].set_xlabel('cluster rank')\n", + "# ax[3].set_ylabel('cluster size')\n", + "\n", + "# Custom legend\n", + "custom_lines = [Line2D([0], [0], marker='o', color='w', markerfacecolor='gray', label='candidate'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(0.), label='candidate from train'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(.5), label='candidate from val'),\n", + " Line2D([0], [0], marker='o', color='w', markerfacecolor=newcmp(1.), label='candidate from test')]\n", + "\n", + "fig.legend(handles=custom_lines, loc='upper right', bbox_to_anchor=(0.91,0.95))\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(right=0.78)\n", + "\n", + "# Save and show\n", + "plt.savefig('./images/clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Supplemental: Quantitative analysis of discriminative power" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification power on based on cluster size" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def origin_pred(label_sorted, cut_off=100):\n", + " pred = label_sorted[:cut_off]\n", + " pred_train = pred[pred==0.0]\n", + " \n", + " pred_val = pred[pred==1.0]\n", + " \n", + " pred_test = pred[pred==2.0]\n", + " total = len(pred_train) + len(pred_val) + len(pred_test)\n", + " percent = [len(pred_train)/total, len(pred_val)/total, len(pred_test)/total]\n", + " return (len(pred_train)/(len(pred_val)+len(pred_train)),\n", + " len(pred_train)/(len(pred_test)+len(pred_train)), percent)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification accucary for top n (cut_off) clusters\n", + "Quantitative analysis of information from training carried over into the synthetic dataset.
\n", + "We define a threshold (cut off) based on the size of clusters. After a given size, the clusters are considered outliers. We then compare the proportion of these outliers coming from train/validation/test.
\n", + "Privacy threatening is when most of the outliers come from train." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# printing for given cut off\n", + "cut_off_print = 333" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space (basic L2 distance)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.54\n", + "test 0.84\n", + "train 0.49, val 0.42, test 0.09\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers in pixel space (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('L2 clusters')\n", + "plt.savefig('./images/supp/Supp_L2_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature space (in UMAP embedding)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.53\n", + "test 0.71\n", + "train 0.43, val 0.39, test 0.18\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted_umap, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers in pixel space (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Umap clusters')\n", + "plt.savefig('./images/supp/Supp_umap_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Privacy threatening toy example" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "val 0.91\n", + "test 0.99\n", + "train 0.90, val 0.09, test 0.01\n" + ] + } + ], + "source": [ + "class_list_val = []\n", + "class_list_test = []\n", + "percent_list = []\n", + "\n", + "for curr_cut_off in range(5, 999):\n", + " val, test, percent = origin_pred(d_labels_sorted_threatening, curr_cut_off)\n", + " class_list_val.append(val)\n", + " class_list_test.append(test)\n", + " percent_list.append(percent)\n", + "\n", + "print('val {:.2f}'.format(class_list_val[cut_off_print]))\n", + "print('test {:.2f}'.format(class_list_test[cut_off_print]))\n", + "print('train {:.2f}, val {:.2f}, test {:.2f}'.format(percent_list[cut_off_print][0],\n", + " percent_list[cut_off_print][1],\n", + " percent_list[cut_off_print][2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Ouliers for toy example (val and test)\n", + "\n", + "plt.plot(class_list_val, color='C1', label='val accuracy')\n", + "plt.plot(class_list_test, color='C2', label='test accuracy')\n", + "plt.legend()\n", + "plt.xlabel('cut off')\n", + "plt.ylabel('accuracy')\n", + "plt.plot(np.ones(len(class_list_test))*0.5, color='black')\n", + "plt.title('Toy threatening clusters')\n", + "plt.savefig('./images/supp/Supp_threatening_cluster_cutoff.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ROC\n", + "Classifying based on cluster size (large cluster size resulting in a prediction of a training sample is considered a True positive)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "def roc_custom(dist_list):\n", + " '''Compute roc curve for candidate in pixel, feature space and toy example'''\n", + " \n", + " # Getting labels based on origin from candidate dataset\n", + " train_list = dist_list[:334]\n", + " val_list = dist_list[334:667]\n", + " test_list = dist_list[667:]\n", + "\n", + " # Running normalization on the distance to get values between 0 and 1\n", + " # normalize val vs train\n", + " norm_val = np.concatenate((train_list, val_list))\n", + " norm_val = norm_val - np.min(norm_val)\n", + " norm_val = norm_val*(1/np.max(norm_val))\n", + " \n", + " # normalize test vs train\n", + " norm_test = np.concatenate((train_list, test_list))\n", + " norm_test = norm_test - np.min(norm_test)\n", + " norm_test = norm_test*(1/np.max(norm_test))\n", + " \n", + " # define positive and negative labels\n", + " # ealier samples are always training so labeled as positive\n", + " labels = np.concatenate((np.ones([334]), np.zeros([333])))\n", + "\n", + " # Get false positve and true positive rate\n", + " fpr_val, tpr_val, _ = roc_curve(labels, norm_val)\n", + " fpr_test, tpr_test, _ = roc_curve(labels, norm_test)\n", + "\n", + " return fpr_val, tpr_val, fpr_test, tpr_test" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Get clusters\n", + "L2_sort = np.sort(L2_dist.ravel())\n", + "percent_01 = L2_sort[100000]\n", + "neighbourhood_01_L2 = np.sum((L2_dist < percent_01)*1.0, axis=1)\n", + "\n", + "u_sort = np.sort(umap_dist.ravel())\n", + "percent_01 = u_sort[10000]\n", + "neighbourhood_01_umap = np.sum((umap_dist < percent_01)*1.0, axis=1)\n", + "\n", + "a = np.sort(d1_clusters[:1000])[666:][::-1]\n", + "b = np.sort(d1_clusters[1000:2000])[667:][::-1]\n", + "c = np.sort(d1_clusters[2000:])[667:][::-1]\n", + "d = np.concatenate((a,b,c))\n", + "simul_clusters = d*1.0" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Get FPR and TPR\n", + "fpr_L2_val, tpr_L2_val, fpr_L2_test, tpr_L2_test = roc_custom(neighbourhood_01_L2)\n", + "fpr_umap_val, tpr_umap_val, fpr_umap_test, tpr_umap_test = roc_custom(neighbourhood_01_umap)\n", + "fpr_L2_val_simul, tpr_L2_val_simul, fpr_L2_test_simul, tpr_L2_test_simul = roc_custom(simul_clusters)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pixel space" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# L2 clusters\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_L2_val, tpr_L2_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_L2_test, tpr_L2_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_L2_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Feature space" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Embedding space\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_umap_val, tpr_umap_val, color='C1', label='L2 val')\n", + "plt.plot(fpr_umap_test, tpr_umap_test, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_umap_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Privacy threatening toy example" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Privacy threatening toy example\n", + "\n", + "plt.plot(np.linspace(0,1,50), np.linspace(0,1,50), color='black', linestyle='--', lw=1)\n", + "plt.plot(fpr_L2_val_simul, tpr_L2_val_simul, color='C1', label='L2 val')\n", + "plt.plot(fpr_L2_test_simul, tpr_L2_test_simul, color='C2', label='L2 test')\n", + "plt.ylabel('TPR')\n", + "plt.xlabel('FPR')\n", + "plt.savefig('./images/supp/ROC_threatening_clusters.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pgan-env", + "language": "python", + "name": "pgan-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/manuscript/Privacy/6_density_plot.ipynb b/src/manuscript/Privacy/6_density_plot.ipynb new file mode 100644 index 0000000..9dc5ccb --- /dev/null +++ b/src/manuscript/Privacy/6_density_plot.ipynb @@ -0,0 +1,72674 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Density plot\n", + "The dataset is unevenly destributed and clusters of synthetic can form where clusters of real data form as well" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from glob import glob\n", + "from scipy.spatial.distance import cdist\n", + "from tqdm.notebook import tqdm\n", + "import pickle" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objects as go" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Load UMAP data\n", + "u_real = np.load('../Diversity/diversity_saves/umap_train_full.npy')\n", + "u_fake = np.load('../Diversity/diversity_saves/umap_synth_full.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "x = u_fake[:,0]\n", + "y = u_fake[:,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "x2 = u_real[:,0]\n", + "y2 = u_real[:,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "color_scale = [[0.0, 'white'],\n", + " [0.1, 'rgb(0.99, 0.93, 0.7)'],\n", + " [0.4,'orange'],\n", + " [0.7, 'red'],\n", + " [1.0, 'rgb(0.51, 0.02, 0.15)']]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + 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