Lipschitz regularity of deep neural networks: analysis and efficient estimation

Kevin Scaman, Aladin Virmaux

Deep neural networks are notorious for being sensitive to small well-chosen perturbations, and estimating the regularity of such architectures is of utmost importance for safe and…