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Found 3 papers, 3 papers with code
PointCutMix: Regularization Strategy for Point Cloud Classification
As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak generalization ability of networks become prominent.
Ranked #3 on
3D Point Cloud Classification
on ModelNet40-C
The art of defense: letting networks fool the attacker
To this end, in this paper, we propose a novel adversarial defense for 3D point cloud classifier that makes full use of the nature of the DNNs.
3D Adversarial Attacks Beyond Point Cloud
In order to take advantage of the most effective gradient-based attack, a differentiable sample module that back-propagate the gradient of point cloud to mesh is introduced.
