Amish Goel

Fast Locally Optimal Detection of Targeted Universal Adversarial Perturbations

2022 · IEEE Transactions on Information Forensics and Security

This paper proposes a locally-optimal generalized likelihood ratio test (LO-GLRT) for detecting targeted attacks on a classifier, where the attacks add a norm-bounded targeted universal adversarial perturbation (UAP) to the classifier’s input. The paper includes …