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Adversary and invisibility are two fundamental but conflict characters of adversarial perturbations.
Surface reconstruction from unorganized points
Hugues Hoppe, Tony DeRose, Tom Duchamp, John Alan McDonald, and Werner Stuetzle · 1992
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Towards deep neural network architectures robust to adversarial examples
Shixiang Gu and Luca Rigazio · 2015
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Metrics for evaluating 3d medical image segmentation: analysis, selection, and tool
Abdel Aziz Taha and Allan Hanbury · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas J. Guibas · 2016
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David A. Wagner · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
R. Q. Charles, H. Su, M. Kaichun, and L. J. Guibas · 2017
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ZOO: zeroth order optimization based black-box attacks to deep neural networks without training substitute models
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, and Cho-Jui Hsieh · 2017
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas · 2017
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
Wieland Brendel, Jonas Rauber, and Matthias Bethge · 2018
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Frustum pointnets for 3d object detection from RGB-D data
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J. Guibas · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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Adversarial sensor attack on lidar-based perception in autonomous driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Z. Morley Mao · 2019
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Efficient decision-based black-box adversarial attacks on face recognition
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, and Jun Zhu · 2019
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Self-robust 3d point recognition via gather-vector guidance
Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang, and Nenghai Yu · 2020
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Advpc: Transferable adversarial perturbations on 3d point clouds
Abdullah Hamdi, Sara Rojas, Ali K. Thabet, and Bernard Ghanem · 2020
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Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao · 2020
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Physically realizable adversarial examples for lidar object detection
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, and Raquel Urtasun · 2020
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Geometry-aware generation of adversarial point clouds
Y. Wen, J. Lin, K. Chen, C. L. P. Chen, and K. Jia · 2020
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Simple black-box adversarial attacks
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, and Kilian Q. Weinberger · 2019
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Extending adversarial attacks and defenses to deep 3d point cloud classifiers
Daniel Liu, Ronald Yu, and Hao Su · 2019
Cited alongside, same era.
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, and Shin-Ming Cheng · 2019
Cited alongside, same era.
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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Generating 3d adversarial point clouds
Chong Xiang, Charles R. Qi, and Bo Li · 2019
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Generating 3d adversarial point clouds
Chong Xiang, Charles R. Qi, and Bo Li · 2019
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Pointcloud saliency maps
Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, and Kui Ren · 2019
Cited alongside, same era.
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, and Chenglong Zhao · 2020
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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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Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, and Bo Li · 2021
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Revisiting point cloud shape classification with a simple and effective baseline
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, and Jia Deng · 2021
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Pointguard: Provably robust 3d point cloud classification
Hongbin Liu, Jinyuan Jia, and Neil Zhenqiang Gong · 2021
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Adversarially robust 3d point cloud recognition using self-supervisions
Jiachen Sun, Yulong Cao, Christopher B Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, and Chaowei Xiao · 2021
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On adversarial robustness of 3d point cloud classification
Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao · 2021
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Walk in the cloud: Learning curves for point clouds shape analysis
Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, and Weidong Cai · 2021
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Paconv: Position adaptive convolution with dynamic kernel assembling on point clouds
Mutian Xu, Runyu Ding, Hengshuang Zhao, and Xiaojuan Qi · 2021
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