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Adversarial point perturbations on 3D objects

(Submitted on 16 Aug 2019) Abstract: The importance of training robust neural network grows as 3D data is increasingly utilized in deep learning for vision tasks, like autonomous driving. We examine this problem from the perspective of the attacker, which is necessary in understanding how neural networks can be exploited, and thus defended. More specifically,…

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