
The author introduces PCLD as a novel defense strategy for enhancing the robustness of 3D point cloud classification models against adversarial attacks by employing diffusion-based purification on a layerwise basis within neural network architecture.


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pcld-point-cloud-layerwise-diffusion-for-adversarial-purification


PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification


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3D point cloud models can be defended against adversarial attacks using the innovative PCLD method, enhancing robustness and performance.
