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Found 2 papers, 1 papers with code
Adversarial Attack by Limited Point Cloud Surface Modifications
The obtained results show that it can perform successful attacks and achieve state-of-the-art results by only a limited number of point modifications while preserving the appearance of the point cloud.
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
To address this problem, we propose a novel AE that can learn more semantically meaningful features.
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