Detecting Adversarial Examples through Nonlinear Dimensionality Reduction

Francesco Crecchi, Davide Bacciu, Battista Biggio

Deep neural networks are vulnerable to adversarial examples, i.e., carefully-perturbed inputs aimed to mislead classification. This work proposes a detection method based on combin…