Learning to Detect Adversarial Examples Based on Class Scores

Tobias Uelwer, Felix Michels, Oliver De Candido

Given the increasing threat of adversarial attacks on deep neural networks (DNNs), research on efficient detection methods is more important than ever. In this work, we take a clos…