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Adversarial attack methods based on point manipulation for 3D point cloud classification have revealed the fragility of 3D models, yet the adversarial examples they produce are easily perceived or defended against.
Smooth regression analysis
Geoffrey S Watson · 1964
Earlier work this paper cites.
Towards fully autonomous driving: Systems and algorithms
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Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
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Earlier work this paper cites.
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Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
So-net: Self-organizing network for point cloud analysis
Jiaxin Li, Ben M Chen, and Gim Hee Lee · 2018
Earlier work this paper cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Adversarial objects against lidar-based autonomous driving systems
Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, and Bo Li · 2019
Earlier work this paper cites.
Comdefend: An efficient image compression model to defend adversarial examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, and Hassan Foroosh · 2019
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Pu-gan: A point cloud upsampling adversarial network
Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng · 2019
Earlier work this paper cites.
Extending adversarial attacks and defenses to deep 3d point cloud classifiers
Daniel Liu, Ronald Yu, and Hao Su · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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Pointconv: Deep convolutional networks on 3d point clouds
Wenxuan Wu, Zhongang Qi, and Li Fuxin · 2019
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Generating 3d adversarial point clouds
Chong Xiang, Charles R Qi, and Bo Li · 2019
Lg-gan: Label guided adversarial network for flexible targeted attack of point cloud based deep networks
Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, and Nenghai Yu · 2020
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Interpretable graph capsule networks for object recognition
Jindong Gu · 2021
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Pct: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, and Shi-Min Hu · 2021
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A comprehensive survey on point cloud registration
Xiaoshui Huang, Guofeng Mei, Jian Zhang, and Rana Abbas · 2021
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Adversarial attacks on optimization based planners
Sai Vemprala and Ashish Kapoor · 2021
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Pointcloud saliency maps
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Dup-net: Denoiser and upsampler network for 3d adversarial point clouds defense
Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, and Nenghai Yu · 2019
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An analysis of adversarial attacks and defenses on autonomous driving models
Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, and Miryung Kim · 2020
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Adv-watermark: A novel watermark perturbation for adversarial examples
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Adversarial shape perturbations on 3d point clouds
Daniel Liu, Ronald Yu, and Hao Su · 2020
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Robust adversarial objects against deep learning models
Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, and Yier Jin · 2020
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Xupeng Wang, Mumuxin Cai, Ferdous Sohel, Nan Sang, and Zhengwei Chang · 2021
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Isometric 3d adversarial examples in the physical world
Yinpeng Dong, Jun Zhu, Xiao-Shan Gao, et al · 2022
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Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness
Jindong Gu, Hengshuang Zhao, Volker Tresp, and Philip HS Torr · 2022
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Shape-invariant 3d adversarial point clouds
Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, and Nenghai Yu · 2022
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Manipulation planning from demonstration via goal-conditioned prior action primitive decomposition and alignment
Nan Lin, Yuxuan Li, Keke Tang, Yujun Zhu, Xiayu Zhang, Ruolin Wang, Jianmin Ji, Xiaoping Chen, and Xinming Zhang · 2022
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Boosting 3d adversarial attacks with attacking on frequency
Binbin Liu, Jinlai Zhang, and Jihong Zhu · 2022
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Contrastive boundary learning for point cloud segmentation
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, and Dacheng Tao · 2022
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Generating transferable 3d adversarial point cloud via random perturbation factorization
Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, and Xiaochun Cao · 2023
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Deep manifold attack on point clouds via parameter plane stretching
Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, and Wenping Wang · 2023
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3d adversarial attacks beyond point cloud
Jinlai Zhang, Lyujie Chen, Binbin Liu, Bo Ouyang, Qizhi Xie, Jihong Zhu, Weiming Li, and Yanmei Meng · 2023
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