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Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

11 July 2022
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
    AAMLMDE
ArXiv (abs)PDFHTML

Papers citing "Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches"

46 / 46 papers shown
Title
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
AAMLSILM
119
3
0
20 Nov 2023
TF-Blender: Temporal Feature Blender for Video Object Detection
TF-Blender: Temporal Feature Blender for Video Object Detection
Yiming Cui
Liqi Yan
Zhiwen Cao
Dongfang Liu
ViT
70
100
0
12 Aug 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion
  based Perception in Autonomous Driving Under Physical-World Attacks
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Yue Liu
AAML
86
223
0
17 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition
Single Image Depth Prediction with Wavelet Decomposition
Michael Ramamonjisoa
Michael Firman
Jamie Watson
Vincent Lepetit
Daniyar Turmukhambetov
MDE
76
55
0
03 Jun 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
74
270
0
29 Apr 2021
SG-Net: Spatial Granularity Network for One-Stage Video Instance
  Segmentation
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
Dongfang Liu
Yiming Cui
Wenbo Tan
Yingjie Chen
78
133
0
18 Mar 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
50
173
0
16 Mar 2021
DenserNet: Weakly Supervised Visual Localization Using Multi-scale
  Feature Aggregation
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
Dongfang Liu
Yiming Cui
Liqi Yan
Christos Mousas
B. Yang
Yingjie Chen
142
126
0
04 Dec 2020
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments
  from a Single Moving Camera
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
Felix Wimbauer
Nan Yang
Lukas von Stumberg
Niclas Zeller
Daniel Cremers
MDE
46
86
0
24 Nov 2020
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
Lukas von Stumberg
Patrick Wenzel
Nan Yang
Daniel Cremers
48
34
0
13 Oct 2020
Adversarial Patch Attacks on Monocular Depth Estimation Networks
Adversarial Patch Attacks on Monocular Depth Estimation Networks
Koichiro Yamanaka
R. Matsumoto
Keita Takahashi
T. Fujii
GANAAMLMDE
43
36
0
06 Oct 2020
Bidirectional Attention Network for Monocular Depth Estimation
Bidirectional Attention Network for Monocular Depth Estimation
Shubhra Aich
Jean M. Uwabeza Vianney
Md. Amirul Islam
Mannat Kaur
Bingbing Liu
MDE
69
75
0
01 Sep 2020
Drift with Devil: Security of Multi-Sensor Fusion based Localization in
  High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Junjie Shen
Jun Yeon Won
Zeyuan Chen
Qi Alfred Chen
AAML
82
124
0
18 Jun 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction
Targeted Adversarial Perturbations for Monocular Depth Prediction
A. Wong
Safa Cicek
Stefano Soatto
AAMLMDE
53
44
0
12 Jun 2020
Monocular Depth Estimators: Vulnerabilities and Attacks
Monocular Depth Estimators: Vulnerabilities and Attacks
Alwyn Mathew
Aditya Patra
Jimson Mathew
AAMLMDE
42
9
0
28 May 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
62
92
0
05 May 2020
Adversarial Attacks on Monocular Depth Estimation
Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang
Xinge Zhu
Yingwei Li
Xiangqun Chen
Yao Guo
AAMLMDE
69
25
0
23 Mar 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
197
226
0
08 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
83
378
0
02 Mar 2020
Attacking Optical Flow
Attacking Optical Flow
Anurag Ranjan
J. Janai
Andreas Geiger
Michael J. Black
AAML3DPC
69
87
0
22 Oct 2019
Self-Supervised Monocular Depth Hints
Self-Supervised Monocular Depth Hints
Jamie Watson
Michael Firman
Gabriel J. Brostow
Daniyar Turmukhambetov
SSLMDE
88
251
0
19 Sep 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID system
AdvHat: Real-world adversarial attack on ArcFace Face ID system
Stepan Alekseevich Komkov
Aleksandr Petiushko
AAMLCVBM
55
285
0
23 Aug 2019
Characterizing Attacks on Deep Reinforcement Learning
Characterizing Attacks on Deep Reinforcement Learning
Xinlei Pan
Chaowei Xiao
Warren He
Shuang Yang
Jian Peng
...
Jinfeng Yi
Zijiang Yang
Mingyan D. Liu
Yue Liu
Basel Alomair
AAML
54
70
0
21 Jul 2019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous
  Driving
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
Yulong Cao
Chaowei Xiao
Benjamin Cyr
Yimeng Zhou
Wonseok Park
Sara Rampazzi
Qi Alfred Chen
Kevin Fu
Z. Morley Mao
AAML
49
539
0
16 Jul 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional
  Image Editing
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
69
171
0
19 Jun 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against
  Multiple Object Tracking
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Yunhan Jia
Yantao Lu
Junjie Shen
Qi Alfred Chen
Zhenyu Zhong
Tao Wei
AAMLVOT
66
33
0
27 May 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL3DPCMDE
79
648
0
06 May 2019
Fooling automated surveillance cameras: adversarial patches to attack
  person detection
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys
W. V. Ranst
Toon Goedemé
AAML
107
569
0
18 Apr 2019
Defending against Whitebox Adversarial Attacks via Randomized
  Discretization
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang
Percy Liang
AAML
76
75
0
25 Mar 2019
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object
  Detection for Autonomous Driving
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang
Wei-Lun Chao
Divyansh Garg
Bharath Hariharan
M. Campbell
Kilian Q. Weinberger
3DPC
110
999
0
18 Dec 2018
PointPillars: Fast Encoders for Object Detection from Point Clouds
PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang
Sourabh Vora
Holger Caesar
Lubing Zhou
Jiong Yang
Oscar Beijbom
3DPC
75
3,447
0
14 Dec 2018
Physical Adversarial Examples for Object Detectors
Physical Adversarial Examples for Object Detectors
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Florian Tramèr
Atul Prakash
Tadayoshi Kohno
Basel Alomair
AAML
92
469
0
20 Jul 2018
Injected and Delivered: Fabricating Implicit Control over Actuation
  Systems by Spoofing Inertial Sensors
Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensors
Yazhou Tu
Zhiqiang Lin
Insup Lee
X. Hei
52
110
0
20 Jun 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
204
428
0
16 Apr 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
76
523
0
08 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
Basel Alomair
GANAAML
115
899
0
08 Jan 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
78
1,094
0
27 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
310
12,069
0
19 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
48
1,208
0
25 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
91
1,367
0
18 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
85
1,269
0
04 Apr 2017
Deep Photo Style Transfer
Deep Photo Style Transfer
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
GAN
90
686
0
22 Mar 2017
A study of the effect of JPG compression on adversarial images
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite
Zoubin Ghahramani
Daniel M. Roy
AAML
86
534
0
02 Aug 2016
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
112
3,962
0
24 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
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