Towards Deep Neural Network Architectures Robust to Adversarial Examples

Shixiang Gu, Luca Rigazio

Recent work has shown deep neural networks (DNNs) to be highly susceptible to well-designed, small perturbations at the input layer, or so-called adversarial examples. Taking image…