Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising

1 code implementation • 12 Jul 2021 • Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche

Despite the enormous performance of deepneural networks (DNNs), recent studies have shown theirvulnerability to adversarial examples (AEs), i. e., care-fully perturbed inputs designed to fool the targetedDNN.

Denoising