Additional Material

Reading

Szegedy, Christian et al. "Intriguing properties of neural networks". ArXiv, 2018.

Bai, Tao et al. "Recent Advances in Adversarial Training for Adversarial Robustness". IJCAI, 2021.

Goodfellow, Ian et al. "Explaining and Harnessing Adversarial Examples". ICLR, 2015. (FGSM)

Madry, Aleksander et al. "Towards Deep Learning Models Resistant to Adversarial Attacks". ICLR, 2018. (PGD)

KDD tutorial on Adversarial Attacks and Defenses: Frontiers, Advances and Practice.

NuerIPS tutorial on Adversarial Robustness: Theory and Practice.

Tools

Adversarial Robustness Toolbox

CleverHans

DeepRobust