Amish Goel

Locally Optimal Detection of Stochastic Targeted Universal Adversarial Perturbations

Deep learning image classifiers are known to be vulnerable to small adversarial perturbations of input images. In this paper, we derive the locally optimal generalized likelihood ratio test based detector for detecting stochastic targeted universal adversarial perturbations to a classifier’s input.…