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  3. 2011.13375
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Invisible Perturbations: Physical Adversarial Examples Exploiting the
  Rolling Shutter Effect
v1v2v3 (latest)

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

Computer Vision and Pattern Recognition (CVPR), 2020
26 November 2020
Athena Sayles
Ashish Hooda
M. Gupta
Rahul Chatterjee
Earlence Fernandes
    AAML
ArXiv (abs)PDFHTML

Papers citing "Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect"

41 / 41 papers shown
Targeted Physical Evasion Attacks in the Near-Infrared Domain
Targeted Physical Evasion Attacks in the Near-Infrared Domain
Pascal Zimmer
Simon Lachnit
Alexander Jan Zielinski
Ghassan O. Karame
AAML
139
0
0
02 Sep 2025
SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities
SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities
Shilin Xiao
Wenjun Zhu
Y. Jiang
Kai Wang
Peiwang Wang
Chen Yan
Xiaoyu ji
Luyi Xing
174
1
0
22 Aug 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
370
1
0
11 Apr 2025
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
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
GANAAML
328
0
0
27 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
Nandish Chattopadhyay
Abdul Basit
B. Ouni
Muhammad Shafique
AAML
286
1
0
01 Mar 2025
Device-aware Optical Adversarial Attack for a Portable Projector-camera System
Device-aware Optical Adversarial Attack for a Portable Projector-camera System
Ning Jiang
Yanhong Liu
Dingheng Zeng
Yue Feng
Weihong Deng
Ying Li
AAML
161
0
0
23 Jan 2025
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
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
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems PerspectiveNetwork and Distributed System Security Symposium (NDSS), 2024
Ningfei Wang
Shaoyuan Xie
Takami Sato
Yunpeng Luo
Kaidi Xu
Qi Alfred Chen
AAML
201
14
0
15 Sep 2024
SoK: Security of the Image Processing Pipeline for Camera-based Sensing in Autonomous Vehicles
SoK: Security of the Image Processing Pipeline for Camera-based Sensing in Autonomous Vehicles
Michael Kuhr
Mohammad Hamad
Pedram MohajerAnsari
Mert D. Pesé
Sebastian Steinhorst
398
4
0
02 Sep 2024
Understanding Impacts of Electromagnetic Signal Injection Attacks on
  Object Detection
Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection
Youqian Zhang
Chunxi Yang
Eugene Y. Fu
Qinhong Jiang
Chen Yan
Sze-Yiu Chau
Grace Ngai
Hong-va Leong
Xiapu Luo
Wei Dong
AAML
214
5
0
23 Jul 2024
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous
  Vehicles
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles
Dongfang Guo
Yuting Wu
Yimin Dai
Pengfei Zhou
Xin Lou
Rui Tan
185
21
0
10 Jul 2024
TPatch: A Triggered Physical Adversarial Patch
TPatch: A Triggered Physical Adversarial PatchUSENIX Security Symposium (USENIX Security), 2023
Wenjun Zhu
Xiaoyu Ji
Yushi Cheng
Shibo Zhang
Wei Dong
AAML
328
45
0
30 Dec 2023
Fight Fire with Fire: Combating Adversarial Patch Attacks using
  Pattern-randomized Defensive Patches
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive PatchesIEEE Symposium on Security and Privacy (S&P), 2023
Jianan Feng
Jiachun Li
Changqing Miao
Jianjun Huang
Wei You
Wenchang Shi
Bin Liang
AAML
360
4
0
10 Nov 2023
Adversarial Examples in the Physical World: A Survey
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
9
0
01 Nov 2023
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural
  networks
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks
Zvi Stein
Adrian Stern
AAML
168
0
0
22 Oct 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
366
44
0
01 Oct 2023
That Doesn't Go There: Attacks on Shared State in Multi-User Augmented
  Reality Applications
That Doesn't Go There: Attacks on Shared State in Multi-User Augmented Reality ApplicationsUSENIX Security Symposium (USENIX Security), 2023
Carter Slocum
Yicheng Zhang
Erfan Shayegani
Pedram Zaree
Nael B. Abu-Ghazaleh
Jiasi Chen
400
21
0
17 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current
  Trends, Categorization, Applications, Research Challenges, and Future Outlook
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future OutlookIEEE Access (IEEE Access), 2023
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
374
44
0
11 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against
  Query-Based Black-Box Attacks
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
AAML
227
3
0
30 Jul 2023
Lateral-Direction Localization Attack in High-Level Autonomous Driving:
  Domain-Specific Defense Opportunity via Lane Detection
Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane DetectionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Junjie Shen
Y. Luo
Ziwen Wan
Qi Alfred Chen
AAML
205
7
0
26 Jul 2023
Why Don't You Clean Your Glasses? Perception Attacks with Dynamic
  Optical Perturbations
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
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical
  World
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical WorldIEEE International Conference on Computer Vision (ICCV), 2023
Donghua Wang
Wen Yao
Tingsong Jiang
Chong Li
Xiaoqian Chen
AAML
346
46
0
14 Jul 2023
State-of-the-art optical-based physical adversarial attacks for deep
  learning computer vision systems
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systemsExpert 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
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision
  Systems
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems
Amira Guesmi
Muhammad Abdullah Hanif
Mohamed Bennai
AAML
291
22
0
02 Mar 2023
Adversarial Attack with Raindrops
Adversarial Attack with Raindrops
Jiyuan Liu
Bingyi Lu
Mingkang Xiong
Tao Zhang
Huilin Xiong
360
24
0
28 Feb 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
532
35
0
19 Feb 2023
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
576
15
0
03 Nov 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Physical Adversarial Attack meets Computer Vision: A Decade SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hui Wei
Hao Tang
Xuemei Jia
Zhixiang Wang
Han-Bing Yu
Zhubo Li
Shiníchi Satoh
Luc Van Gool
Zheng Wang
AAML
643
122
0
30 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
718
51
0
28 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Ling Tian
AAML
396
3
0
19 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition:
  Attack and Defense
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and DefenseIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Bo Peng
Bo Peng
Jie Zhou
Jianyue Xie
Li Liu
AAML
208
71
0
11 Sep 2022
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against
  Shadow-Based Adversarial Attacks
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks
Andrew Wang
Wyatt Mayor
Ryan Smith
Gopal Nookula
G. Ditzler
AAML
236
1
0
18 Aug 2022
Rolling Colors: Adversarial Laser Exploits against Traffic Light
  Recognition
Rolling Colors: Adversarial Laser Exploits against Traffic Light RecognitionUSENIX Security Symposium (USENIX Security), 2022
Chen Yan
Zhijian Xu
Zhanyuan Yin
Xiaoyu Ji
Wei Dong
159
66
0
06 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Adversarial Neon Beam: A Light-based Physical Attack to DNNsComputer Vision and Image Understanding (CVIU), 2022
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
289
11
0
02 Apr 2022
Shadows can be Dangerous: Stealthy and Effective Physical-world
  Adversarial Attack by Natural Phenomenon
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural PhenomenonComputer Vision and Pattern Recognition (CVPR), 2022
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
AAML
462
193
0
08 Mar 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint
  Ensembles
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint EnsemblesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
352
15
0
11 Feb 2022
SoK: Anti-Facial Recognition Technology
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
277
19
0
08 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTAAAML
280
8
0
01 Dec 2021
Signal Injection Attacks against CCD Image Sensors
Signal Injection Attacks against CCD Image Sensors
S. Köhler
Richard Baker
Ivan Martinovic
AAML
211
38
0
19 Aug 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
543
315
0
01 Aug 2021
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in
  CMOS Image Sensors
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image SensorsAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021
S. Köhler
Giulio Lovisotto
S. Birnbach
Richard Baker
Ivan Martinovic
AAML
300
45
0
25 Jan 2021
1
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