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2004.00543
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Physically Realizable Adversarial Examples for LiDAR Object Detection
Computer Vision and Pattern Recognition (CVPR), 2020
1 April 2020
James Tu
Mengye Ren
S. Manivasagam
Ming Liang
Binh Yang
Richard Du
Frank Cheng
R. Urtasun
3DPC
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Papers citing
"Physically Realizable Adversarial Examples for LiDAR Object Detection"
50 / 134 papers shown
Cheating Stereo Matching in Full-scale: Physical Adversarial Attack against Binocular Depth Estimation in Autonomous Driving
Kangqiao Zhao
Shuo Huai
Xurui Song
Jun Luo
AAML
409
0
0
18 Nov 2025
Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard
Henry Wong
Clement Fung
Weiran Lin
Karen Li
Stanley Chen
Lujo Bauer
AAML
260
0
0
18 Nov 2025
Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
Jian Wang
Lijun He
Yixing Yong
Haixia Bi
Fan Li
AAML
324
1
0
11 Nov 2025
Learning Fourier shapes to probe the geometric world of deep neural networks
Jian Wang
Yixing Yong
Haixia Bi
Lijun He
Fan Li
AAML
264
0
0
07 Nov 2025
AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields
Woo Jae Kim
Kyu Beom Han
Y. Cho
Youngju Na
Junsik Jung
Sooel Son
Sung-eui Yoon
AAML
201
0
0
22 Oct 2025
OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
Bing Li
Wuqi Wang
Yanan Zhang
Jingzheng Li
Haigen Min
Wei Feng
Xingyu Zhao
Jie Zhang
Qing Guo
190
0
0
08 Oct 2025
Seeing is Deceiving: Mirror-Based LiDAR Spoofing for Autonomous Vehicle Deception
Selma Yahia
Ildi Alla
Girija Bangalore Mohan
Daniel Rau
Mridula Singh
Valeria Loscri
AAML
187
2
0
21 Sep 2025
SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats
Qingzhao Zhang
Shaocheng Luo
Z. Morley Mao
Miroslav Pajic
Michael K. Reiter
AAML
359
0
0
14 Sep 2025
Generating Adversarial Point Clouds Using Diffusion Model
Ruiyang Zhao
Bingbing Zhu
Chuxuan Tong
Xiaoyi Zhou
Xi Zheng
DiffM
253
0
0
25 Jul 2025
Revisiting Physically Realizable Adversarial Object Attack against LiDAR-based Detection: Clarifying Problem Formulation and Experimental Protocols
Luo Cheng
Hanwei Zhang
Lijun Zhang
Holger Hermanns
AAML
189
0
0
24 Jul 2025
CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems
Senkang Hu
Yihang Tao
Guowen Xu
Xinyuan Qian
Yiqin Deng
Xianhao Chen
Sam Kwong
Yuguang Fang
332
1
0
28 Jun 2025
Assured Autonomy with Neuro-Symbolic Perception
R. S. Hallyburton
Miroslav Pajic
240
2
0
27 May 2025
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen
Yuhong Wang
Nafis S Munir
Xiangwei Zhou
Xugui Zhou
AAML
324
2
0
14 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
372
1
0
11 Apr 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
990
1
0
21 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
498
0
0
01 Mar 2025
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
AAAI Conference on Artificial Intelligence (AAAI), 2024
Benedikt Brückner
Alessio Lomuscio
AAML
383
3
0
07 Nov 2024
Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Robustness Evaluation and Target-Aware Black-Box Method
Shengjing Tian
Xiantong Zhao
Xiantong Zhao
Yinan Han
Xiuping Liu
AAML
444
0
0
28 Oct 2024
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Nashrah Haque
Xiang Li
Zhehui Chen
Yanzhao Wu
Lei Yu
Arun Iyengar
Wenqi Wei
DiffM
AAML
179
0
0
17 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
European Conference on Computer Vision (ECCV), 2024
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
285
2
0
14 Oct 2024
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
Amira Guesmi
Mohamed Bennai
AAML
378
8
0
30 Sep 2024
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR
Network and Distributed System Security Symposium (NDSS), 2024
Zizhi Jin
Qinhong Jiang
Xuancun Lu
Chen Yan
Xiaoyu Ji
Wei Dong
AAML
220
6
0
26 Sep 2024
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
Shuai Yuan
Xingshuo Han
Hongwei Li
Guowen Xu
Wenbo Jiang
Tao Ni
Qingchuan Zhao
Yuguang Fang
324
7
0
19 Sep 2024
Evaluating and Improving the Robustness of LiDAR Odometry and Localization Under Real-World Corruptions
Bo Yang
Tri Minh Triet Pham
Jinqiu Yang
250
0
0
17 Sep 2024
Acceleration method for generating perception failure scenarios based on editing Markov process
Canjie Cai
275
0
0
01 Jul 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou
Yi Zhu
Qun Song
Rui Tan
Chunming Qiao
Wei-Bin Lee
Jianping Wang
AAML
395
8
0
17 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
245
13
0
09 Jun 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
354
43
0
27 May 2024
Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
Manav Prabhakar
Jwalandhar Girnar
Arpan Kusari
AAML
GAN
333
0
0
23 May 2024
What Sketch Explainability Really Means for Downstream Tasks
Computer Vision and Pattern Recognition (CVPR), 2024
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
387
8
0
14 Mar 2024
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
Mert Gulsen
Batuhan Cengiz
Y. Sahin
Gözde B. Ünal
DiffM
AAML
281
1
0
11 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Computer Vision and Pattern Recognition (CVPR), 2024
Tianrui Lou
Yang Liu
Jindong Gu
Li Liu
Yaning Tan
Bangyan He
Simeng Qin
259
41
0
08 Mar 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
...
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
334
16
0
21 Feb 2024
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
Han Liu
Zhi Xu
Xiaotong Zhang
Feng Zhang
Fenglong Ma
Hongyang Chen
Hong Yu
Xianchao Zhang
AAML
287
24
0
02 Feb 2024
A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion
R. S. Hallyburton
David Hunt
Shaocheng Luo
Miroslav Pajic
182
2
0
17 Jan 2024
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xiaohu Lu
H. Radha
AAML
3DPC
423
2
0
05 Dec 2023
Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing
Ayoosh Bansal
Yang Zhao
James Zhu
Sheng Cheng
Yuliang Gu
Hyung-Jin Yoon
Hunmin Kim
N. Hovakimyan
Lui Sha
320
4
0
05 Dec 2023
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving
Bo Yang
Xiaoyu Ji
Zizhi Jin
Yushi Cheng
Wei Dong
3DPC
AAML
324
4
0
03 Dec 2023
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches
IEEE Symposium on Security and Privacy (S&P), 2023
Jianan Feng
Jiachun Li
Changqing Miao
Jianjun Huang
Wei You
Wenchang Shi
Bin Liang
AAML
363
4
0
10 Nov 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Conference on Robot Learning (CoRL), 2023
Jingkang Wang
S. Manivasagam
Yun Chen
Ze Yang
Ioan Andrei Bârsan
A. Yang
Wei-Chiu Ma
R. Urtasun
3DV
284
33
0
02 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Conference on Robot Learning (CoRL), 2023
Jay Sarva
Jingkang Wang
James Tu
Yuwen Xiong
S. Manivasagam
R. Urtasun
317
12
0
02 Nov 2023
Adversarial Examples in the Physical World: A Survey
Jinyang Guo
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
449
10
0
01 Nov 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
ACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
366
44
0
01 Oct 2023
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Conference on Robot Learning (CoRL), 2023
Yasasa Abeysirigoonawardena
Kevin Xie
Chuhan Chen
Salar Hosseini
Ruiting Chen
Ruiqi Wang
Florian Shkurti
431
4
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27 Sep 2023
On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures
USENIX Security Symposium (USENIX Security), 2023
Qingzhao Zhang
Shuowei Jin
Ruiyang Zhu
Jiachen Sun
Xumiao Zhang
Qi Alfred Chen
Z. Morley Mao
AAML
433
23
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22 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
IEEE International Conference on Computer Vision (ICCV), 2023
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
225
3
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3D Adversarial Augmentations for Robust Out-of-Domain Predictions
International Journal of Computer Vision (IJCV), 2023
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
308
8
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29 Aug 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Qinfeng Zhu
Lei Fan
Ningxin Weng
3DPC
609
100
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General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
European Conference on Artificial Intelligence (ECAI), 2023
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
249
0
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17 Aug 2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023
Pia Hanfeld
Khaled Wahba
Marina M.-C. Höhne
Michael Bussmann
Wolfgang Hönig
AAML
291
2
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01 Aug 2023
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