Scalable Attribution of Adversarial Attacks via Multi-Task Learning

Zhongyi Guo, Keji Han, Yao Ge +2

Deep neural networks (DNNs) can be easily fooled by adversarial attacks during inference phase when attackers add imperceptible perturbations to original examples, i.e., adversaria…