Adversarial Examples for Semantic Image Segmentation

no code implementations • 3 Mar 2017 • Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox

Machine learning methods in general and Deep Neural Networks in particular have shown to be vulnerable to adversarial perturbations.

BIG-bench Machine Learning General Classification +4

Universal Adversarial Perturbations Against Semantic Image Segmentation

no code implementations • ICCV 2017 • Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer

We show empirically that there exist barely perceptible universal noise patterns which result in nearly the same predicted segmentation for arbitrary inputs.

Image Classification Image Segmentation +2