On the Convergence and Robustness of Adversarial Training

Yisen Wang, Xingjun Ma, James Bailey +3

Improving the robustness of deep neural networks (DNNs) to adversarial examples is an important yet challenging problem for secure deep learning. Across existing defense techniques…