Understanding and Enhancing the Transferability of Adversarial Examples

Lei Wu, Zhanxing Zhu, Cheng Tai +1

State-of-the-art deep neural networks are known to be vulnerable to adversarial examples, formed by applying small but malicious perturbations to the original inputs. Moreover, the…