Improving Adversarial Transferability with Scheduled Step Size and Dual Example

Zeliang Zhang, Peihan Liu, Xiaosen Wang +1

Deep neural networks are widely known to be vulnerable to adversarial examples, especially showing significantly poor performance on adversarial examples generated under the white-…