04 October 2023, 12h30-13h30 (Paris time), room Amphi Jaures (29 Rue d'Ulm). Julia Kempe (NYU Centre for Data Science and Courant Institute) Title: Towards Understanding Adversarial Robustness Abstract: Adversarial vulnerability of neural nets, their failure under small, imperceptible perturbations, and subsequent techniques to create robust models have attracted significant attention; yet we still lack a full understanding of this phenomenon. In this talk I will introduce the problem and current defenses and then explore how tools and insights coming from statistical physics, in particular certain infinite-width limits of neural nets, help shed more […]