Web: http://arxiv.org/abs/2211.12294

Nov. 23, 2022, 2:20 a.m. | Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

cs.CR updates on arXiv.org arxiv.org

Point cloud completion, as the upstream procedure of 3D recognition and
segmentation, has become an essential part of many tasks such as navigation and
scene understanding. While various point cloud completion models have
demonstrated their powerful capabilities, their robustness against adversarial
attacks, which have been proven to be fatally malicious towards deep neural
networks, remains unknown. In addition, existing attack approaches towards
point cloud classifiers cannot be applied to the completion models due to
different output forms and attack purposes. …

adversarial cloud robustness

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