Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks

Pranjal Awasthi, Natalie Frank, Mehryar Mohri

Abstract: Adversarial or test time robustness measures the susceptibility of a classifier to perturbations to the test input. While there has been a flurry of recent work on designing defenses against such p...