TV Regularization leads to adversarially robust and accurate neural networks


This was an invited talk I gave at the at the Level Set Collective, in the UCLA Math department. This presentation was based off of joint work with Adam Oberman and Bilal Abbasi, where we trained adversarially robust neural networks with both Lipshitz and TV gradient regularization.

Download slides here