Evaluating Classifier Robustness Under Local Structure-Based Adversarial Attacks in 3D Point Clouds
Adversarial attacks on 3D point clouds offer different difficulties and benefits compared to the 2D image-based ones. In this work, we aim to promote the robustness of adversarial attack methods and therefore propose approaches that target subsets of critical points in point cloud with a focus on local structura...