On the (Statistical) Detection of Adversarial Examples

no code implementations • 21 Feb 2017 • Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes, Patrick McDaniel

Specifically, we augment our ML model with an additional output, in which the model is trained to classify all adversarial inputs.

Malware Classification Network Intrusion Detection

Adversarial Perturbations Against Deep Neural Networks for Malware Classification

no code implementations • 14 Jun 2016 • Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick McDaniel

Deep neural networks, like many other machine learning models, have recently been shown to lack robustness against adversarially crafted inputs.

BIG-bench Machine Learning Classification +3