Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks

Siyue Wang, Xiao Wang, Pu Zhao +4

Deep neural networks (DNNs) are known vulnerable to adversarial attacks. That is, adversarial examples, obtained by adding delicately crafted distortions onto original legal inputs…