On Detecting Adversarial Perturbations

1 code implementation • 14 Feb 2017 • Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

In this work, we propose to augment deep neural networks with a small "detector" subnetwork which is trained on the binary classification task of distinguishing genuine data from data containing adversarial perturbations.

Adversarial Attack General Classification