PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

Zelun Kong, Junfeng Guo, Ang Li +1

Although Deep neural networks (DNNs) are being pervasively used in vision-based autonomous driving systems, they are found vulnerable to adversarial attacks where small-magnitude p…