Scaleable input regularization for adversarial robustness


This was a poster presentation at the Deep Learning and Reinforcement Learning summer school, organized by CIFAR and AMII, and hosted at the University of Alberta. This presentation was based off of joint work with Adam Oberman on training adversarially robust networks using gradient regularization.

Download poster here