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SLAP: Improving Physical Adversarial Examples with Short-Lived
  Adversarial Perturbations

SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations

8 July 2020
Giulio Lovisotto
H.C.M. Turner
Ivo Sluganovic
Martin Strohmeier
Ivan Martinovic
    AAML
ArXivPDFHTML

Papers citing "SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations"

50 / 52 papers shown
Title
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
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
54
0
0
08 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
34
0
0
11 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
B. Li
Qing-Wu Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
Nandish Chattopadhyay
Abdul Basit
B. Ouni
Muhammad Shafique
AAML
31
0
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
130
0
0
28 Jan 2025
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object
  Detectors
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
30
1
0
14 Oct 2024
Transient Adversarial 3D Projection Attacks on Object Detection in
  Autonomous Driving
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
Ce Zhou
Qiben Yan
Sijia Liu
3DPC
AAML
16
0
0
25 Sep 2024
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception
  Attacks
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song
Muslum Ozgur Ozmen
Hyungsub Kim
Antonio Bianchi
Z. Berkay Celik
AAML
28
5
0
22 Sep 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against
  Traffic Sign Recognition
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
34
4
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 Perspective
Ningfei Wang
Shaoyuan Xie
Takami Sato
Yunpeng Luo
Kaidi Xu
Qi Alfred Chen
AAML
26
0
0
15 Sep 2024
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image
  Inpainting Mechanism against Light Patch Attacks
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
36
2
0
06 Sep 2024
Achieving the Safety and Security of the End-to-End AV Pipeline
Achieving the Safety and Security of the End-to-End AV Pipeline
Noah T. Curran
Minkyoung Cho
Ryan Feng
Liangkai Liu
Brian Tang
Pedram MohajerAnsari
Alkim Domeke
Mert D. Pesé
Kang G. Shin
AAML
29
2
0
05 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices
  Using Diffusion Models
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
40
1
0
31 Aug 2024
Requiem for a drone: a machine-learning based framework for stealthy
  attacks against unmanned autonomous vehicles
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
20
0
0
20 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
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
42
0
0
11 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
29
4
0
10 Jul 2024
ControlLoc: Physical-World Hijacking Attack on Visual Perception in
  Autonomous Driving
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving
Chen Ma
Ningfei Wang
Zhengyu Zhao
Qian Wang
Qi Alfred Chen
Chao Shen
AAML
29
1
0
09 Jun 2024
SlowPerception: Physical-World Latency Attack against Visual Perception
  in Autonomous Driving
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving
Chen Ma
Ningfei Wang
Zhengyu Zhao
Qi Alfred Chen
Chao Shen
36
0
0
09 Jun 2024
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image
  Attacking
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
Qianyu Guo
Jiaming Fu
Yawen Lu
Dongming Gan
DiffM
27
0
0
21 Mar 2024
Invisible Reflections: Leveraging Infrared Laser Reflections to Target
  Traffic Sign Perception
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
25
17
0
07 Jan 2024
TPatch: A Triggered Physical Adversarial Patch
TPatch: A Triggered Physical Adversarial Patch
Wenjun Zhu
Xiaoyu Ji
Yushi Cheng
Shibo Zhang
Wenyuan Xu
AAML
24
24
0
30 Dec 2023
Dynamic Adversarial Attacks on Autonomous Driving Systems
Dynamic Adversarial Attacks on Autonomous Driving Systems
Amirhosein Chahe
Chenan Wang
Abhishek S. Jeyapratap
Kaidi Xu
Lifeng Zhou
AAML
24
6
0
10 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
60
3
0
20 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jiakai Wang
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
33
4
0
01 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based
  Wireless Communication Systems
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Jung-Woo Chang
Ke Sun
Nasimeh Heydaribeni
Seira Hidano
Xinyu Zhang
F. Koushanfar
AAML
17
1
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
19
0
0
22 Oct 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving?
  Towards System-Level Effect of Adversarial Object Evasion Attack
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
Ningfei Wang
Y. Luo
Takami Sato
Kaidi Xu
Qi Alfred Chen
AAML
22
33
0
23 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 Outlook
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
23
21
0
11 Aug 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
24
1
0
24 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
26
1
0
18 Jul 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video
  Compression
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
19
1
0
04 Apr 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 systems
Jun-bin Fang
You Jiang
Canjian Jiang
Z. L. Jiang
S. Yiu
Chuanyi Liu
AAML
21
12
0
22 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
AAML
22
20
0
27 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
44
21
0
19 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
31
75
0
29 Dec 2022
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
22
10
0
03 Nov 2022
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial
  Examples
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples
Hui Liu
Bo Zhao
Kehuan Zhang
Peng Liu
AAML
21
3
0
16 Oct 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
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
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
SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a
  Systematic View
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
19
20
0
10 May 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models
A Tale of Two Models: Constructing Evasive Attacks on Edge Models
Wei Hao
Aahil Awatramani
Jia-Bin Hu
Chengzhi Mao
Pin-Chun Chen
Eyal Cidon
Asaf Cidon
Junfeng Yang
AAML
19
4
0
22 Apr 2022
Rolling Colors: Adversarial Laser Exploits against Traffic Light
  Recognition
Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition
Chen Yan
Zhijian Xu
Zhanyuan Yin
Xiaoyu Ji
Wenyuan Xu
22
42
0
06 Apr 2022
SoK: On the Semantic AI Security in Autonomous Driving
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
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial
  Examples Against Traffic Sign Recognition Systems
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
Towards Understanding and Harnessing the Effect of Image Transformation
  in Adversarial Detection
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Hui Liu
Bo Zhao
Yuefeng Peng
Weidong Li
Peng Liu
AAML
25
1
0
04 Jan 2022
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
32
16
0
20 Sep 2021
Feature-Filter: Detecting Adversarial Examples through Filtering off
  Recessive Features
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Hui Liu
Bo Zhao
Minzhi Ji
Yuefeng Peng
Jiabao Guo
Peng Liu
AAML
23
2
0
19 Jul 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 Sensors
S. Köhler
Giulio Lovisotto
S. Birnbach
Richard Baker
Ivan Martinovic
AAML
15
35
0
25 Jan 2021
Backdoor Attacks Against Deep Learning Systems in the Physical World
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger
Josephine Passananti
A. Bhagoji
Yuanshun Yao
Haitao Zheng
Ben Y. Zhao
AAML
18
199
0
25 Jun 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
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