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3D point cloud classification has many safety-critical applications such as autonomous driving and robotic grasping.
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Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 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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Mitigating evasion attacks to deep neural networks via region-based classification
Xiaoyu Cao and Neil Zhenqiang Gong · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, 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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Shape completion enabled robotic grasping
Jacob Varley, Chad DeChant, Adam Richardson, Joaquín Ruales, and Peter Allen · 2017
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Pointcnn: Convolution on x-transformed points
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen · 2018
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Towards robust neural networks via random self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang, and Cho-Jui Hsieh · 2018
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A lidar point cloud generator: from a virtual world to autonomous driving
Xiangyu Yue, Bichen Wu, Sanjit A Seshia, Kurt Keutzer, and Alberto L Sangiovanni-Vincentelli · 2018
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Certified adversarial robustness via randomized smoothing
Jeremy M Cohen, Elan Rosenfeld, and J Zico Kolter · 2019
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Certified robustness for top-k predictions against adversarial perturbations via randomized smoothing
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, and Neil Zhenqiang Gong · 2019
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Certified robustness to adversarial examples with differential privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana · 2019
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Tight certificates of adversarial robustness for randomly smoothed classifiers
Guang-He Lee, Yang Yuan, Shiyu Chang, and Tommi Jaakkola · 2019
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Certified adversarial robustness with additive noise
Bai Li, Changyou Chen, Wenlin Wang, and Lawrence Carin · 2019
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Extending adversarial attacks and defenses to deep 3d point cloud classifiers
Daniel Liu, Ronald Yu, and Hao Su · 2019
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Theoretical evidence for adversarial robustness through randomization
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 Thabet, and Bernard Ghanem · 2020
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Intrinsic certified robustness of bagging against data poisoning attacks
Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong · 2020
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Certified robustness of community detection against adversarial structural perturbation via randomized smoothing
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, and Neil Zhenqiang Gong · 2020
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Minimal adversarial examples for deep learning on 3d point clouds
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung · 2020
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Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, and Jamal Atif · 2019
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Provably robust deep learning via adversarially trained smoothed classifiers
Hadi Salman, Jerry Li, Ilya Razenshteyn, Pengchuan Zhang, Huan Zhang, Sebastien Bubeck, and Greg Yang · 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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Robustness of 3d deep learning in an adversarial setting
Matthew Wicker and Marta Kwiatkowska · 2019
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Generating 3d adversarial point clouds
Chong Xiang, Charles R Qi, and Bo Li · 2019
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Adversarial attack and defense on point sets
Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, and Qi Tian · 2019
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Pointcloud saliency maps
Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, and Kui Ren · 2019
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Robustness certificates for sparse adversarial attacks by randomized ablation
Alexander Levine and Soheil Feizi · 2020
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Efficient joint gradient based attack against sor defense for 3d point cloud classification
Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, and Xiaopeng Zhang · 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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On certifying robustness against backdoor attacks via randomized smoothing
Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong, et al · 2020
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On isometry robustness of deep 3d point cloud models under adversarial attacks
Yue Zhao, Yuwei Wu, Caihua Chen, and Andrew Lim · 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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On the adversarial robustness of 3d point cloud classification
Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, and Zhuoqing Mao · 2021
Closest in time.
IF-Defense: 3d adversarial point cloud defense via implicit function based restoration
Ziyi Wu, Yueqi Duan, He Wang, Qingnan Fan, and Leonidas Guibas · 2021
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