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LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of
  Point Cloud-based Deep Networks

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Computer Vision and Pattern Recognition (CVPR), 2020
1 November 2020
Hang Zhou
Dongdong Chen
Jing Liao
Weiming Zhang
Kejiang Chen
Xiaoyi Dong
Kunlin Liu
G. Hua
Nenghai Yu
    3DPC
ArXiv (abs)PDFHTML

Papers citing "LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks"

50 / 56 papers shown
Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain
Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain
Liang Zhou
Qiming Wang
Tianze Chen
3DPC
239
0
0
10 Nov 2025
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
Yuanmin Huang
Wenxuan Li
Mi Zhang
Xiaohan Zhang
Xiaoyu You
Min Yang
3DPC
410
0
0
10 Nov 2025
Generating Adversarial Point Clouds Using Diffusion Model
Generating Adversarial Point Clouds Using Diffusion Model
Ruiyang Zhao
Bingbing Zhu
Chuxuan Tong
Xiaoyi Zhou
Xi Zheng
DiffM
243
0
0
25 Jul 2025
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
Nima Jamali
Matina Mahdizadeh Sani
Hanieh Naderi
S. Kasaei
AAML3DPC
262
0
0
07 Jun 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
958
1
0
21 Mar 2025
A theory of appropriateness with applications to generative artificial
  intelligence
A theory of appropriateness with applications to generative artificial intelligence
Joel Z. Leibo
A. Vezhnevets
Manfred Diaz
J. Agapiou
William A. Cunningham
...
William S. Isaac
Georgios Piliouras
Stanley M. Bileschi
Iyad Rahwan
Simon Osindero
195
2
0
26 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu
Yunbo Tao
Pan Zhou
Wei Hu
3DPC
457
7
0
30 Nov 2024
Robust 3D Point Clouds Classification based on Declarative Defenders
Robust 3D Point Clouds Classification based on Declarative Defenders
Kaidong Li
Tianxiao Zhang
Cuncong Zhong
Zizhuo Zhang
G. Wang
3DPC
420
3
0
13 Oct 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
247
1
0
23 Sep 2024
Anchor-Controlled Generative Adversarial Network for High-Fidelity
  Electromagnetic and Structurally Diverse Metasurface Design
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design
Yunhui Zeng
Hongkun Cao
Xin Jin
177
8
0
29 Aug 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models
Transferable 3D Adversarial Shape Completion using Diffusion Models
Xuelong Dai
Bin Xiao
DiffM3DPC
269
1
0
14 Jul 2024
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
Eidos: Efficient, Imperceptible Adversarial 3D Point CloudsInternational Symposium on Software Engineering: Theories, Tools, and Applications (ISSETTA), 2024
Hanwei Zhang
Luo Cheng
Qisong He
Wei Huang
Renjue Li
R. Sicre
Xiaowei Huang
Holger Hermanns
Lijun Zhang
AAML
226
2
0
23 May 2024
What Sketch Explainability Really Means for Downstream Tasks
What Sketch Explainability Really Means for Downstream TasksComputer Vision and Pattern Recognition (CVPR), 2024
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
383
8
0
14 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial
  Perturbations on 3D Point Clouds
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2024
Tianrui Lou
Yang Liu
Jindong Gu
Li Liu
Yaning Tan
Bangyan He
Simeng Qin
256
38
0
08 Mar 2024
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP AlgorithmIEEE International Conference on Robotics and Automation (ICRA), 2024
Ziyu Zhang
Johann Laconte
Daniil Lisus
Timothy D. Barfoot
AAML
276
2
0
08 Mar 2024
GSE: Group-wise Sparse and Explainable Adversarial Attacks
GSE: Group-wise Sparse and Explainable Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2023
Shpresim Sadiku
Moritz Wagner
Sebastian Pokutta
AAML
415
5
0
29 Nov 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial AttacksACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
358
42
0
01 Oct 2023
Sample-adaptive Augmentation for Point Cloud Recognition Against
  Real-world Corruptions
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world CorruptionsIEEE International Conference on Computer Vision (ICCV), 2023
Jie Wang
Lihe Ding
Tingfa Xu
Shaocong Dong
Xinli Xu
Long Bai
Jianan Li
3DPC
277
12
0
19 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D DetectorsIEEE International Conference on Computer Vision (ICCV), 2023
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
220
3
0
11 Sep 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time
  Frequency-domain Prompting
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain PromptingIEEE International Conference on Computer Vision (ICCV), 2023
Qidong Huang
Xiaoyi Dong
DongDong Chen
Yinpeng Chen
Lu Yuan
Gang Hua
Weiming Zhang
Neng H. Yu
AAML
329
14
0
20 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D
  Point Cloud Attack
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud AttackIEEE International Conference on Computer Vision (ICCV), 2023
Yunbo Tao
Daizong Liu
Pan Zhou
Yulai Xie
Wei Du
Wei Hu
3DPCAAML
304
29
0
15 Aug 2023
Robustifying Point Cloud Networks by Refocusing
Robustifying Point Cloud Networks by RefocusingInternational Conference on 3D Vision (3DV), 2023
Meir Yossef Levi
Guy Gilboa
3DPC
442
5
0
10 Aug 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A SurveyIEEE Access (IEEE Access), 2023
Hanieh Naderi
Ivan V. Bajić
3DPC
468
12
0
01 Jul 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
508
35
0
19 Feb 2023
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive
  Diffusion
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive DiffusionACM Multimedia (ACM MM), 2022
Kui Zhang
Hang Zhou
Jie Zhang
Qidong Huang
Weiming Zhang
Nenghai Yu
DiffM
239
19
0
29 Nov 2022
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing CertificatesNeural Information Processing Systems (NeurIPS), 2022
Jan Schuchardt
Stephan Günnemann
AAML
257
8
0
25 Nov 2022
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models
  Against Adversarial Examples
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial ExamplesAAAI Conference on Artificial Intelligence (AAAI), 2022
Shengshan Hu
Junwei Zhang
Wen Liu
Xianqiang Lyu
Minghui Li
L. Zhang
Hai Jin
Lichao Sun
AAML3DPC
357
14
0
22 Nov 2022
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical WorldNeural Information Processing Systems (NeurIPS), 2022
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
288
43
0
27 Oct 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud
  Recognition
PointCAT: Contrastive Adversarial Training for Robust Point Cloud RecognitionIEEE Transactions on Image Processing (IEEE TIP), 2022
Qidong Huang
Xiaoyi Dong
DongDong Chen
Hang Zhou
Weiming Zhang
Kui Zhang
Gang Hua
Nenghai Yu
3DPC
309
21
0
16 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds
  Representation under Adversarial Attack
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
Junxuan Huang
Yatong An
Lu Cheng
Bai Chen
Junsong Yuan
Chunming Qiao
3DPC
223
3
0
14 Sep 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D
  Point Cloud Recognition
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun
Weili Nie
Zhiding Yu
Z. Morley Mao
Chaowei Xiao
DiffM
173
29
0
21 Aug 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal ProcessingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Daizong Liu
Wei Hu
Xin Li
AAML3DPC
479
41
0
27 Jul 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential
  Privacy
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
Teddy Cunningham
Konstantin Klemmer
Hongkai Wen
Hakan Ferhatosmanoglu
221
13
0
18 May 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending
  Adversarial Attacks with Implicit Gradients
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsComputer Vision and Pattern Recognition (CVPR), 2022
Kaidong Li
Ziming Zhang
Cuncong Zhong
Guanghui Wang
3DPC
232
34
0
29 Mar 2022
Shape-invariant 3D Adversarial Point Clouds
Shape-invariant 3D Adversarial Point CloudsComputer Vision and Pattern Recognition (CVPR), 2022
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Hang Zhou
Weiming Zhang
Nenghai Yu
3DPC
308
106
0
08 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisPLoS ONE (PLoS ONE), 2022
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
368
16
0
23 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksEuropean Conference on Computer Vision (ECCV), 2022
Q. Hu
Daizong Liu
Wei Hu
AAML3DPC
464
36
0
15 Feb 2022
Boosting 3D Adversarial Attacks with Attacking On Frequency
Boosting 3D Adversarial Attacks with Attacking On FrequencyIEEE Access (IEEE Access), 2022
Binbin Liu
Jinlai Zhang
Lyujie Chen
Jihong Zhu
3DPC
211
53
0
26 Jan 2022
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
An Tao
Yueqi Duan
He Wang
Ziyi Wu
Pengliang Ji
Haowen Sun
Jie Zhou
Jiwen Lu
403
1
0
17 Dec 2021
On Adversarial Robustness of Point Cloud Semantic Segmentation
On Adversarial Robustness of Point Cloud Semantic Segmentation
Jiacen Xu
Zhe Zhou
Boyuan Feng
Yufei Ding
Zhou Li
3DPCAAML
616
5
0
11 Dec 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud
  Classification
Imperceptible Transfer Attack and Defense on 3D Point Cloud ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Daizong Liu
Wei Hu
3DPC
302
85
0
22 Nov 2021
Generating Unrestricted 3D Adversarial Point Clouds
Generating Unrestricted 3D Adversarial Point Clouds
Xuelong Dai
Yanjie Li
Hua Dai
Bin Xiao
3DPC
282
2
0
17 Nov 2021
Explainability-Aware One Point Attack for Point Cloud Neural Networks
Explainability-Aware One Point Attack for Point Cloud Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Hanxiao Tan
Helena Kotthaus
3DPCAAML
292
19
0
08 Oct 2021
Adversarial Attack by Limited Point Cloud Surface Modifications
Adversarial Attack by Limited Point Cloud Surface Modifications
Atrin Arya
Hanieh Naderi
S. Kasaei
AAML3DPC
214
7
0
07 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
528
311
0
01 Aug 2021
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
Sparse and Imperceptible Adversarial Attack via a Homotopy AlgorithmInternational Conference on Machine Learning (ICML), 2021
Mingkang Zhu
Tianlong Chen
Zinan Lin
AAML
170
30
0
10 Jun 2021
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Guiyu Tian
Wenhao Jiang
Wei Liu
Yadong Mu
3DPCAAML
152
15
0
11 May 2021
3D Adversarial Attacks Beyond Point Cloud
3D Adversarial Attacks Beyond Point CloudInformation Sciences (Inf. Sci.), 2021
Jinlai Zhang
Lyujie Chen
Binbin Liu
Bojun Ouyang
Qizhi Xie
Jihong Zhu
Weiming Li
Yanmei Meng
3DPC
289
56
0
25 Apr 2021
The art of defense: letting networks fool the attacker
The art of defense: letting networks fool the attackerIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Jinlai Zhang
Lyvjie Chen
Binbin Liu
Bojun Ouyang
Jihong Zhu
Minchi Kuang
Houqing Wang
Yanmei Meng
AAML3DPC
369
21
0
07 Apr 2021
Fooling LiDAR Perception via Adversarial Trajectory Perturbation
Fooling LiDAR Perception via Adversarial Trajectory PerturbationIEEE International Conference on Computer Vision (ICCV), 2021
Yiming Li
Congcong Wen
Felix Juefei Xu
Chen Feng
3DPCAAML
421
67
0
29 Mar 2021
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