Naveed Akhtar

Defense Against Universal Adversarial Perturbations

2018

Recent advances in Deep Learning show the existence of image-agnostic quasi-imperceptible perturbations that when applied to 'any' image can fool a state-of-the-art network classifier to change its prediction about the image label. These 'Universal Adversarial …