PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

9 July 2019

Papers citing "PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving"

50 / 57 papers shown

Title
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 26 0 0 19 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples Samra Irshad Seungkyu Lee Nassir Navab Hong Joo Lee S. T. Kim GAN AAML 84 0 0 27 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 28 0 0 01 Mar 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception Yuanhao Huang Qinfan Zhang Jiandong Xing Mengyue Cheng Haiyang Yu Yilong Ren Xiao Xiong AAML 60 0 0 12 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 96 0 0 04 Feb 2025
FLARE: Towards Universal Dataset Purification against Backdoor Attacks Linshan Hou Wei Luo Zhongyun Hua Songhua Chen L. Zhang Yiming Li AAML 70 0 0 29 Nov 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 28 2 0 09 Oct 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition Shuai Yuan Hongwei Li Xingshuo Han Guowen Xu Wenbo Jiang Tao Ni Qingchuan Zhao Yuguang Fang 30 4 0 19 Sep 2024
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis Takuto Onikubo Yusuke Matsui DiffM AAML 26 1 0 12 Sep 2024
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles Michael Kuhr Mohammad Hamad Pedram MohajerAnsari Mert D. Pesé Sebastian Steinhorst 22 0 0 02 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 34 1 0 31 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 27 1 0 14 Aug 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 61 4 0 14 Jul 2024
Generating camera failures as a class of physics-based adversarial examples Manav Prabhakar Jwalandhar Girnar A. Kusari AAML GAN 17 0 0 23 May 2024
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles Jiawei Zhang Chejian Xu Bo-wen Li 39 30 0 22 May 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks Lihua Jing Rui Wang Wenqi Ren Xinjie Dong Cong Zou AAML 23 6 0 25 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 38 5 0 08 Apr 2024
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models Heeseon Kim Minji Son Minbeom Kim Myung-Joon Kwon Changick Kim AAML 29 7 0 17 Nov 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 34 26 0 19 Oct 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook Amira Guesmi Muhammad Abdullah Hanif B. Ouni Muhammed Shafique AAML 21 21 0 11 Aug 2023
MIMONet: Multi-Input Multi-Output On-Device Deep Learning Zexin Li Xiaoxi He Yufei Li Shahab Nikkhoo Wei Yang Lothar Thiele Cong Liu 33 5 0 22 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Bo-wen Li Shuang Wu Shouhong Ding Wenqiang Zhang AAML 11 32 0 02 Jul 2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing Matteo Biagiola Andrea Stocco Vincenzo Riccio Paolo Tonella 28 11 0 14 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 30 7 0 02 May 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Zexin Li Bangjie Yin Taiping Yao Junfeng Guo Shouhong Ding Simin Chen Cong Liu AAML 18 34 0 22 Mar 2023
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 44 21 0 19 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 16 95 0 07 Feb 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip H. S. Torr Jiaya Jia AAML 24 2 0 11 Dec 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 22 10 0 03 Nov 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 35 4 0 19 Oct 2022
Adversarial Attack Against Image-Based Localization Neural Networks Meir Brand I. Naeh Daniel Teitelman AAML 26 0 0 11 Oct 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 27 43 0 30 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 51 38 0 28 Sep 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Xiang Gao Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 12 5 0 12 Aug 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 8 11 0 15 Jul 2022
SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View Yuan Xu Xingshuo Han Gelei Deng Jiwei Li Yang Liu Tianwei Zhang AAML 11 20 0 10 May 2022
A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles Trupil Limbasiya Ko Zheng Teng Sudipta Chattopadhyay Jianying Zhou 11 47 0 27 Mar 2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis Giulio Rossolini F. Nesti Fabio Brau Alessandro Biondi Giorgio Buttazzo AAML 9 8 0 14 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 15 39 0 10 Mar 2022
Vehicle trajectory prediction works, but not everywhere Mohammadhossein Bahari Saeed Saadatnejad Ahmad Rahimi Mohammad Shaverdikondori M. Shahidzadeh Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi OffRL 14 51 0 07 Dec 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 8 11 0 25 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 40 27 0 07 Oct 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 24 13 0 16 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 38 9 0 05 Jun 2021
Dual Head Adversarial Training Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML 19 4 0 21 Apr 2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses Yao Deng Tiehua Zhang Guannan Lou Xi Zheng Jiong Jin Qing-Long Han AAML 19 97 0 05 Apr 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 13 7 0 09 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 12 0 0 04 Feb 2021