2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
ICCV 2019poster
Deep neural networks are vulnerable to adversarial attacks which can fool them by adding minuscule perturbations to the input images. The robustness of existing defenses suffers greatly under white-box attack settings, where an adversary has full knowledge about the network and can iterate several t…