Global Adversarial Attacks for Assessing Deep Learning Robustness

Hanbin Hu, Mit Shah, Jianhua Z. Huang +1

It has been shown that deep neural networks (DNNs) may be vulnerable to adversarial attacks, raising the concern on their robustness particularly for safety-critical applications.…