APC is a transferable input purification method that defends 3D point cloud recognition against adversarial attacks by enforcing geometric and semantic consistency using clean-adversarial pairs and hybrid training.
Benchmarking and analyzing robust point cloud recognition: Bag of tricks for defending adver- sarial examples
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APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
APC is a transferable input purification method that defends 3D point cloud recognition against adversarial attacks by enforcing geometric and semantic consistency using clean-adversarial pairs and hybrid training.