Part-Based Models Improve Adversarial Robustness

1 code implementation • 15 Sep 2022 • Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner

We show that combining human prior knowledge with end-to-end learning can improve the robustness of deep neural networks by introducing a part-based model for object classification.

Adversarial Robustness