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2007.04137
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SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
USENIX Security Symposium (USENIX Security), 2020
8 July 2020
Giulio Lovisotto
H.C.M. Turner
Ivo Sluganovic
Martin Strohmeier
Ivan Martinovic
AAML
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Papers citing
"SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations"
50 / 53 papers shown
Cheating Stereo Matching in Full-scale: Physical Adversarial Attack against Binocular Depth Estimation in Autonomous Driving
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Shuo Huai
Xurui Song
Jun Luo
AAML
404
0
0
18 Nov 2025
Targeted Physical Evasion Attacks in the Near-Infrared Domain
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Simon Lachnit
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Ghassan O. Karame
AAML
139
0
0
02 Sep 2025
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
Zhongliang Guo
Shuai Zhao
Yanli Li
Weiye Li
Chun Tong Lei
Shuai Zhao
Lei Fang
Ognjen Arandjelović
Chun Pong Lau
AAML
278
6
0
03 Aug 2025
One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World
Xingshuo Han
Chen Ling
Shiyi Yao
Haozhao Wang
Hangcheng Liu
Yutong Wu
Shengmin Xu
Changhai Ou
Xinyi Huang
Tianwei Zhang
AAML
202
0
0
10 Jun 2025
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
Elad Feldman
Jacob Shams
Dudi Biton
Alfred Chen
Shaoyuan Xie
Satoru Koda
Yisroel Mirsky
A. Shabtai
Yuval Elovici
Ben Nassi
AAML
403
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0
08 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
370
1
0
11 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jinyang Guo
AAML
ELM
547
2
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31 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
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Abdul Basit
B. Ouni
Muhammad Shafique
AAML
286
1
0
01 Mar 2025
A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories
Jacob Shams
Ben Nassi
Satoru Koda
A. Shabtai
Yuval Elovici
826
0
0
28 Jan 2025
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
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14 Oct 2024
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
Ce Zhou
Qiben Yan
Sijia Liu
3DPC
AAML
231
0
0
25 Sep 2024
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song
Muslum Ozgur Ozmen
Hyungsub Kim
Antonio Bianchi
Z. Berkay Celik
AAML
237
14
0
22 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
321
7
0
19 Sep 2024
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
Network and Distributed System Security Symposium (NDSS), 2024
Ningfei Wang
Shaoyuan Xie
Takami Sato
Yunpeng Luo
Kaidi Xu
Qi Alfred Chen
AAML
200
14
0
15 Sep 2024
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks
Hangcheng Cao
Longzhi Yuan
Guowen Xu
Ziyang He
Zhengru Fang
Yuguang Fang
AAML
271
9
0
06 Sep 2024
Achieving the Safety and Security of the End-to-End AV Pipeline
Computer Science in Cars Symposium (CSC), 2023
Noah T. Curran
Minkyoung Cho
Ryan Feng
Liangkai Liu
Brian Tang
Pedram MohajerAnsari
Alkim Domeke
Mert D. Pesé
Kang G. Shin
AAML
311
3
0
05 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2024
Hossein Khalili
Seongbin Park
Vincent Li
Brandan Bright
Ali Payani
Ramana Rao Kompella
Nader Sehatbakhsh
AAML
248
6
0
31 Aug 2024
Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles
K. Kim
Denizhan Kara
V. Paruchuri
Sibin Mohan
Greg Kimberly
Jae Kim
Josh D. Eckhardt
248
2
0
20 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
283
3
0
11 Jul 2024
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles
Dongfang Guo
Yuting Wu
Yimin Dai
Pengfei Zhou
Xin Lou
Rui Tan
179
21
0
10 Jul 2024
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving
Chen Ma
Ningfei Wang
Subrat Kishore Dutta
Qian Wang
Qi Alfred Chen
Chao Shen
AAML
234
4
0
09 Jun 2024
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving
Chen Ma
Ningfei Wang
Subrat Kishore Dutta
Qi Alfred Chen
Chao Shen
370
2
0
09 Jun 2024
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
Qianyu Guo
Jiaming Fu
Yawen Lu
Dongming Gan
DiffM
223
3
0
21 Mar 2024
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
Takami Sato
Sri Hrushikesh Varma Bhupathiraju
Michael Clifford
Takeshi Sugawara
Qi Alfred Chen
Sara Rampazzi
AAML
236
32
0
07 Jan 2024
TPatch: A Triggered Physical Adversarial Patch
USENIX Security Symposium (USENIX Security), 2023
Wenjun Zhu
Xiaoyu Ji
Yushi Cheng
Shibo Zhang
Wei Dong
AAML
328
45
0
30 Dec 2023
Dynamic Adversarial Attacks on Autonomous Driving Systems
Amirhosein Chahe
Chenan Wang
Abhishek S. Jeyapratap
Kaidi Xu
Lifeng Zhou
AAML
368
19
0
10 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
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518
10
0
20 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
448
9
0
01 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Network and Distributed System Security Symposium (NDSS), 2023
Jung-Woo Chang
Ke Sun
Nasimeh Heydaribeni
Seira Hidano
Xinyu Zhang
F. Koushanfar
AAML
334
2
0
01 Nov 2023
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks
Zvi Stein
Adrian Stern
AAML
167
0
0
22 Oct 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
IEEE International Conference on Computer Vision (ICCV), 2023
Ningfei Wang
Y. Luo
Takami Sato
Kaidi Xu
Qi Alfred Chen
AAML
248
61
0
23 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
IEEE Access (IEEE Access), 2023
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
370
44
0
11 Aug 2023
Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations
Yi Han
Matthew Chan
Eric Wengrowski
Zhuo Li
Nils Ole Tippenhauer
Mani B. Srivastava
S. Zonouz
L. Garcia
AAML
321
3
0
24 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
548
4
0
18 Jul 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Jung-Woo Chang
Nojan Sheybani
Shehzeen Samarah Hussain
Mojan Javaheripi
Seira Hidano
F. Koushanfar
AAML
167
3
0
04 Apr 2023
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
Expert systems with applications (ESWA), 2023
Jun-bin Fang
You Jiang
Canjian Jiang
Z. L. Jiang
Siu-Ming Yiu
Chuanyi Liu
AAML
301
28
0
22 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
USENIX Security Symposium (USENIX Security), 2023
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
AAML
295
46
0
27 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
531
35
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"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
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Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
424
115
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Visually Adversarial Attacks and Defenses in the Physical World: A Survey
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Bangzheng Pu
Jiefan Lu
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AAML
575
15
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Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples
Hui Liu
Bo Zhao
Kehuan Zhang
Peng Liu
AAML
233
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16 Oct 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hui Wei
Hao Tang
Xuemei Jia
Zhixiang Wang
Han-Bing Yu
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Luc Van Gool
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AAML
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Wen Yao
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SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View
European Symposium on Security and Privacy (Euro S&P), 2022
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Xingshuo Han
Gelei Deng
Jiwei Li
Yang Liu
Tianwei Zhang
AAML
255
38
0
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A Tale of Two Models: Constructing Evasive Attacks on Edge Models
Conference on Machine Learning and Systems (MLSys), 2022
Wei Hao
Aahil Awatramani
Jia-Bin Hu
Chengzhi Mao
Pin-Chun Chen
Eyal Cidon
Asaf Cidon
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AAML
302
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0
22 Apr 2022
Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition
USENIX Security Symposium (USENIX Security), 2022
Chen Yan
Zhijian Xu
Zhanyuan Yin
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159
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Chunming Qiao
Qi Alfred Chen
AAML
318
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Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Network and Distributed System Security Symposium (NDSS), 2022
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Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
240
79
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Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
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Bo Zhao
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Weidong Li
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AAML
459
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SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
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348
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20 Sep 2021
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