2023
Part-Based Models Improve Adversarial Robustness
ICLR 2023poster
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. We believe that the richer form of annotation helps guide neural networks to learn more robust features without requir…