Randomization matters How to defend against strong adversarial attacks. - Rafael Pinot; Raphael Ettedgui; Geovani Rizk; Yann Chevaleyre; Jamal Atif (ICML, 2020)

Towards Consistency in Adversarial Classification. - Laurent Meunier; Raphael Ettedgui; Rafael Pinot; Yann Chevaleyre; Jamal Atif (NeurIPS, 2022)

Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. - Raphael Ettedgui; Alexandre Araujo; Rafael Pinot; Yann Chevaleyre; Jamal Atif (CoRR, 2022)

Existence, computability and certification of optimal classifiers under adversarial example attacks. (Existence, calculabilité et certification de classifieurs optimaux sous attaques adversariales). - Raphael Ettedgui (2022)