Attack Anything: Blind DNNs via Universal Background Adversarial Attack

Jiawei Lian, Shaohui Mei, Xiaofei Wang +5

It has been widely substantiated that deep neural networks (DNNs) are susceptible and vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks b…