Adversarial Rademacher Complexity of Deep Neural Networks

Jiancong Xiao, Yanbo Fan, Ruoyu Sun +1

Deep neural networks (DNNs) are highly vulnerable to adversarial attacks. Ideally, a robust model should perform well on both perturbed training data and unseen perturbed test data…