From 54887aa583ee19e94fc95e23684271019eecdd68 Mon Sep 17 00:00:00 2001 From: Sarath Chandra Kothapalli Date: Sun, 18 Mar 2018 01:34:56 +0530 Subject: [PATCH] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index ba363ea..491d4bf 100644 --- a/README.md +++ b/README.md @@ -140,5 +140,7 @@ are robust across any chosen distribution of transformations - [ ] [On Detecting Adversarial Perturbations](https://arxiv.org/pdf/1702.04267.pdf) — augment Neural Networks with a small detector subnetwork which performs binary classification on distinguishing genuine data from data containing adversarial perturbations - [ ] [Towards Robust Deep Neural Networks with BANG](https://arxiv.org/pdf/1612.00138.pdf) — Batch Adjusted Network Gradients - [ ] [Universal adversarial perturbations](https://arxiv.org/abs/1610.08401) +- [ ] Networks to generate adversarial examples — AdvGAN, [ATNs](https://arxiv.org/pdf/1703.09387.pdf) + - [ ] Deepfool, JSMA, [CW](https://arxiv.org/pdf/1608.04644.pdf) — math intensive