Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation

Mehdi Sadi, B. M. S. Bahar Talukder, Kaniz Mishty +1

Universal Adversarial Perturbations are image-agnostic and model-independent noise that when added with any image can mislead the trained Deep Convolutional Neural Networks into th…