Improving Transferability of Adversarial Examples via Bayesian Attacks

Qizhang Li, Yiwen Guo, Xiaochen Yang +2

The transferability of adversarial examples allows for the attack on unknown deep neural networks (DNNs), posing a serious threat to many applications and attracting great attentio…