ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

16 April 2018

Papers citing "ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector"

50 / 207 papers shown

Title
Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks Qifan Xiao Xudong Pan Yifan Lu Mi Zhang Jiarun Dai Min Yang AAML 19 6 0 17 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection Aishan Liu Jun Guo Jiakai Wang Siyuan Liang Renshuai Tao Wenbo Zhou Cong Liu Xianglong Liu Dacheng Tao AAML 42 60 0 19 Feb 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
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images Xuxiang Sun Gong Cheng Lei Pei Hongda Li Junwei Han AAML 15 38 0 13 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 30 56 0 08 Feb 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 31 14 0 12 Dec 2022
Attacking Object Detector Using A Universal Targeted Label-Switch Patch Avishag Shapira Ron Bitton D. Avraham Alon Zolfi Yuval Elovici A. Shabtai AAML 16 7 0 16 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang K. Zhang AAML 32 55 0 16 Nov 2022
V2X Misbehavior in Maneuver Sharing and Coordination Service: Considerations for Standardization J. Monteuuis J. Petit Mohammad Raashid Ansari Cong Chen Seungnam Yang 12 1 0 04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 24 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 54 4 0 19 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 27 10 0 17 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 29 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 56 38 0 28 Sep 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection Svetlana Pavlitskaya Jonas Hendl Sebastian Kleim Leopold Müller Fabian Wylczoch J. Marius Zöllner AAML 25 4 0 27 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif A. Roy-Chowdhury AAML 51 17 0 20 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 38 3 0 19 Sep 2022
Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection Ruijin Sun Shize Guo Jinhong Guo Changyou Xing Luming Yang Xi Guo Zhisong Pan AAML 34 1 0 06 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 105 14 0 02 Sep 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research Xiruo Liu Shibani Singh Cory Cornelius Colin Busho Mike Tan Anindya Paul Jason Martin AAML 36 2 0 21 Jul 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 26 7 0 20 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 30 37 0 18 Jul 2022
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling Xudong Pan Qifan Xiao Mi Zhang Min Yang AAML 34 1 0 18 Jul 2022
Adversarially-Aware Robust Object Detector Ziyi Dong Pengxu Wei Liang Lin AAML ObjD 22 27 0 13 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches Zhiyuan Cheng James Liang Hongjun Choi Guanhong Tao Zhiwen Cao Dongfang Liu Xiangyu Zhang AAML MDE 25 81 0 11 Jul 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 19 2 0 27 Jun 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models Gavin Hartnett Li Ang Zhang Caolionn L O'Connell A. Lohn Jair Aguirre AAML 25 3 0 25 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 26 5 0 23 Jun 2022
SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors? Hui Xia Rui Zhang Zizi Kang Shuliang Jiang AAML 17 0 0 22 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs Chen-Hao Hu Yilong Wang Kalibinuer Tiliwalidi Wen Li AAML 15 16 0 02 Jun 2022
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards Saurabh Jha Shengkun Cui Zbigniew T. Kalbarczyk R. Iyer LLMSV 24 1 0 02 Jun 2022
Evaluating Automated Driving Planner Robustness against Adversarial Influence Andres Molina-Markham Silvia G. Ionescu Erin Lanus Derek Ng Sam Sommerer J. Rushanan AAML 21 0 0 29 May 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors Avishag Shapira Alon Zolfi Luca Demetrio Battista Biggio A. Shabtai AAML 29 30 0 26 May 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 33 1 0 21 May 2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets Pervaiz Iqbal Khan Imran Razzak Andreas Dengel Sheraz Ahmed MedIm 27 5 0 13 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 40 8 0 02 Apr 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning Nilaksh Das ShengYun Peng Duen Horng Chau AAML 27 2 0 02 Apr 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu X. Lin Sijia Liu AAML 47 20 0 26 Mar 2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis Giulio Rossolini F. Nesti Fabio Brau Alessandro Biondi Giorgio Buttazzo AAML 25 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 20 40 0 10 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko X. Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 19 0 0 25 Feb 2022
bAdvertisement: Attacking Advanced Driver-Assistance Systems Using Print Advertisements Ben Nassi Jacob Shams Raz Ben-Netanel Yuval Elovici AAML 15 4 0 21 Feb 2022
Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies Christopher Wise Jo Plested AAML 15 7 0 17 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios Jung Im Choi Qing Tian AAML 30 38 0 10 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 16 21 0 03 Feb 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 16 51 0 17 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 39 12 0 16 Jan 2022