Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense

Qiao Han, yong huang, xinling Guo +3

Recent studies have revealed the vulnerability of Deep Neural Networks (DNNs) to adversarial examples, which can easily fool DNNs into making incorrect predictions. To mitigate thi…