Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection

Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges

Security-sensitive applications that rely on Deep Neural Networks (DNNs) are vulnerable to small perturbations that are crafted to generate Adversarial Examples(AEs). The AEs are i…