Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization

Yechao Zhang, Yingzhe Xu, Junyu Shi +4

Deep neural networks (DNNs) are susceptible to universal adversarial perturbations (UAPs). These perturbations are meticulously designed to fool the target model universally across…