Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

Gilad Cohen, Guillermo Sapiro, Raja Giryes

Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Det…