DataSynthesizer generates synthetic data that simulates a given dataset.
It aims to facilitate the collaborations between data scientists and owners of sensitive data. It applies Differential Privacy techniques to achieve strong privacy guarantee.
For more details, please refer to DataSynthesizer: Privacy-Preserving Synthetic Datasets
pip install DataSynthesizer- The input dataset is a table in first normal form (1NF).
- When implementing differential privacy, DataSynthesizer injects noises into the statistics within active domain that are the values presented in the table.
After installing DataSynthesizer and Jupyter Notebook, open and try the demos in ./notebooks/
- DataSynthesizer__random_mode.ipynb
- DataSynthesizer__independent_attribute_mode.ipynb
- DataSynthesizer__correlated_attribute_mode.ipynb
The dataResponsiblyUI is a Django project that includes DataSynthesizer. Please follow the steps in Run the Web UIs locally and run DataSynthesizer by visiting http://127.0.0.1:8000/synthesizer in a browser.