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ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
v1v2v3 (latest)

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

16 April 2018
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
    ObjD
ArXiv (abs)PDFHTML

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

50 / 206 papers shown
Title
Backdoor Attacks with Input-unique Triggers in NLP
Backdoor Attacks with Input-unique Triggers in NLP
Xukun Zhou
Jiwei Li
Tianwei Zhang
Lingjuan Lyu
Muqiao Yang
Jun He
SILMAAML
48
9
0
25 Mar 2023
Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in
  Automated Driving System from Appearing Attacks
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
63
6
0
17 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
Xinyu Lin
Sijia Liu
AAMLMLAU
101
1
0
13 Mar 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item
  Detection
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
107
66
0
19 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
112
23
0
19 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing
  Images
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
Xuxiang Sun
Gong Cheng
Lei Pei
Hongda Li
Junwei Han
AAML
55
38
0
13 Feb 2023
Black Box Adversarial Prompting for Foundation Models
Black Box Adversarial Prompting for Foundation Models
Natalie Maus
Patrick Chao
Eric Wong
Jacob R. Gardner
VLM
85
60
0
08 Feb 2023
A Survey on Reinforcement Learning Security with Application to
  Autonomous Driving
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Christian Scano
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
73
4
0
12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David Wagner
AAML
97
15
0
12 Dec 2022
Attacking Object Detector Using A Universal Targeted Label-Switch Patch
Attacking Object Detector Using A Universal Targeted Label-Switch Patch
Avishag Shapira
Ron Bitton
D. Avraham
Alon Zolfi
Yuval Elovici
A. Shabtai
AAML
55
7
0
16 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Hao Huang
Ziyan Chen
Huanran Chen
Yongtao Wang
Ke-Yue Zhang
AAML
110
60
0
16 Nov 2022
V2X Misbehavior in Maneuver Sharing and Coordination Service:
  Considerations for Standardization
V2X Misbehavior in Maneuver Sharing and Coordination Service: Considerations for Standardization
J. Monteuuis
J. Petit
Mohammad Raashid Ansari
Cong Chen
Seungnam Yang
24
1
0
04 Nov 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
148
11
0
03 Nov 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
98
6
0
19 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
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 Yang
87
14
0
17 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
150
56
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
156
39
0
28 Sep 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks
  against Object Detection
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
72
4
0
27 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
M. Salman Asif
Amit K. Roy-Chowdhury
AAML
108
20
0
20 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
79
3
0
19 Sep 2022
Instance Attack:An Explanation-based Vulnerability Analysis Framework
  Against DNNs for Malware Detection
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
120
1
0
06 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs
Adversarial Color Film: Effective Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
176
14
0
02 Sep 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research
Synthetic Dataset Generation for Adversarial Machine Learning Research
Xiruo Liu
Shibani Singh
Cory Cornelius
Colin Busho
Mike Tan
Anindya Paul
Jason Martin
AAML
83
2
0
21 Jul 2022
Illusory Attacks: Information-Theoretic Detectability Matters in
  Adversarial Attacks
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
78
8
0
20 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Xiaojun Jia
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
63
40
0
18 Jul 2022
A Certifiable Security Patch for Object Tracking in Self-Driving Systems
  via Historical Deviation Modeling
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling
Xudong Pan
Qifan Xiao
Mi Zhang
Min Yang
AAML
76
1
0
18 Jul 2022
Adversarially-Aware Robust Object Detector
Adversarially-Aware Robust Object Detector
Ziyi Dong
Pengxu Wei
Liang Lin
AAMLObjD
96
30
0
13 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAMLMDE
68
86
0
11 Jul 2022
Exact Spectral Norm Regularization for Neural Networks
Exact Spectral Norm Regularization for Neural Networks
Anton Johansson
Claes Strannegård
Niklas Engsner
P. Mostad
AAML
70
2
0
27 Jun 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against
  Overhead Object Detection Models
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
98
3
0
25 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
108
5
0
23 Jun 2022
SSMI: How to Make Objects of Interest Disappear without Accessing Object
  Detectors?
SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors?
Hui Xia
Rui Zhang
Zizi Kang
Shuliang Jiang
AAML
28
0
0
22 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
118
17
0
02 Jun 2022
Watch Out for the Safety-Threatening Actors: Proactively Mitigating
  Safety Hazards
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards
Saurabh Jha
Shengkun Cui
Zbigniew T. Kalbarczyk
Ravishankar Iyer
LLMSV
54
1
0
02 Jun 2022
Evaluating Automated Driving Planner Robustness against Adversarial
  Influence
Evaluating Automated Driving Planner Robustness against Adversarial Influence
Andres Molina-Markham
Silvia G. Ionescu
Erin Lanus
Derek Ng
Sam Sommerer
J. Rushanan
AAML
63
0
0
29 May 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep
  Object Detectors
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
Avishag Shapira
Alon Zolfi
Christian Scano
Battista Biggio
A. Shabtai
AAML
107
35
0
26 May 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on
  Semantic Segmentation Problems
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Soma Kontár
A. Horváth
AAML
69
1
0
21 May 2022
A Novel Approach to Train Diverse Types of Language Models for Health
  Mention Classification of Tweets
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
48
5
0
13 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
95
9
0
02 Apr 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with
  Multi-Task Learning
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Nilaksh Das
ShengYun Peng
Duen Horng Chau
AAML
80
2
0
02 Apr 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
Xinyu Lin
Sijia Liu
AAML
172
21
0
26 Mar 2022
Defending From Physically-Realizable Adversarial Attacks Through
  Internal Over-Activation Analysis
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis
Giulio Rossolini
F. Nesti
Fabio Brau
Alessandro Biondi
Giorgio Buttazzo
AAML
61
10
0
14 Mar 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
82
41
0
10 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive
  Adversarial Training
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
44
4
0
03 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance
ARIA: Adversarially Robust Image Attribution for Content Provenance
Maksym Andriushchenko
Xiaochen Li
Geoffrey Oxholm
Thomas Gittings
Tu Bui
Nicolas Flammarion
John Collomosse
AAML
44
3
0
25 Feb 2022
bAdvertisement: Attacking Advanced Driver-Assistance Systems Using Print
  Advertisements
bAdvertisement: Attacking Advanced Driver-Assistance Systems Using Print Advertisements
Ben Nassi
Jacob Shams
Raz Ben-Netanel
Yuval Elovici
AAML
34
4
0
21 Feb 2022
Developing Imperceptible Adversarial Patches to Camouflage Military
  Assets From Computer Vision Enabled Technologies
Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies
Christopher Wise
Jo Plested
AAML
69
7
0
17 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving
  Scenarios
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios
Jung Im Choi
Qing Tian
AAML
71
39
0
10 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding
  Attacks via Patch-agnostic Masking
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
85
23
0
03 Feb 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
71
54
0
17 Jan 2022
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