D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack

Qiuling Xu, Guanhong Tao, Xiangyu Zhang

We propose a novel technique that can generate natural-looking adversarial examples by bounding the variations induced for internal activation values in some deep layer(s), through…