2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
ICCV 2017poster
While deep learning is remarkably successful on perceptual tasks, it was also shown to be vulnerable to adversarial perturbations of the input. These perturbations denote noise added to the input that was generated specifically to fool the system while being quasi-imperceptible for humans. More seve…