A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples

Qiang Zeng, Jianhai Su, Chenglong Fu +2

Adversarial examples (AEs) are crafted by adding human-imperceptible perturbations to inputs such that a machine-learning based classifier incorrectly labels them. They have become…