Enhance the Visual Representation via Discrete Adversarial Training

Xiaofeng Mao, Yuefeng Chen, Ranjie Duan +6

Adversarial Training (AT), which is commonly accepted as one of the most effective approaches defending against adversarial examples, can largely harm the standard performance, thu…