Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness

ArXi:2503.09336v4 Announce Type: replace Backdoor attacks pose a severe threat to deep neural networks (DNNs) by implanting hidden backdoors that can be activated with predefined triggers to manipulate model behaviors maliciously. Recent studies have extended backdoor attacks to 3D point clouds, but most existing triggers are sample-wise and often cause visible geometric artifacts or high optimization cost. To address these limitations, we propose the Stealthy Patch-Wise Backdoor Attack (SPBA), a patch-wise backdoor attack framework for 3D point clouds.