AI RESEARCH
APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
arXiv CS.CV
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ArXi:2604.15708v1 Announce Type: new The advent of deep neural networks has led to remarkable progress in 3D point cloud recognition, but they remain vulnerable to adversarial attacks. Although various defense methods have been studied, they suffer from a trade-off between robustness and transferability. We propose Adversarial Point Counterattack (APC) to achieve both simultaneously. APC is a lightweight input-level purification module that generates instance-specific counter-perturbations for each point, effectively neutralizing attacks.