Smoothed Geometry for Robust Attribution

Building on a geometric understanding of these attacks presented in recent work, we identify Lipschitz continuity conditions on models' gradients that lead to robust gradient-based attributions, and observe that the smoothness of the model's decision surface is related to the transferability of attacks across multiple attribution methods.