Machine vs Machine :Minimax-Optimal Defense Against Adversarial Examples [NIPS-W 17]

One Line Summary Adversarial training of the classifier with the perturbations generated using the attack...

2018, Jan 10   —  1 minute read

Generating Adversarial Examples with Adversarial Networks [ICLR 18 Under Review]

One Line Summary A targeted adversarial perturbation generation using a generative model. Motivation Adversarial perturbations...

2017, Dec 08   —  2 minute read

Fast Feature Fool [BMVC 17]

One Line Summary A data independent approach to universal adversarial perturbations Motivation For an attacker...

2017, Dec 07   —  1 minute read

NAG :Network for Adversary Generation [arXiv 17]

One Line Summary A generative approach to model the distribution of adversarial perturbations. Motivation Existing...

2017, Dec 06   —  1 minute read

Boundary Optimizing Network (BON) [arXiv Jan 18]

One Line Summary A new approach to generalization for deep neural networks when used for...

2017, Jan 09   —  1 minute read