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Adversarial Training of Self-supervised Monocular Depth Estimation
  against Physical-World Attacks

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

31 January 2023
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
ArXivPDFHTML

Papers citing "Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks"

38 / 38 papers shown
Title
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
AAML
MDE
37
83
0
11 Jul 2022
Adversarial Training Helps Transfer Learning via Better Representations
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
61
54
0
18 Jun 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
61
222
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
67
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
60
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
64
132
0
18 Mar 2021
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
37
86
0
24 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
245
4,036
0
20 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
Learning Monocular Visual Odometry via Self-Supervised Long-Term
  Modeling
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Yuliang Zou
Pan Ji
Quoc-Huy Tran
Jia-Bin Huang
Manmohan Chandraker
SSL
96
68
0
21 Jul 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction
Targeted Adversarial Perturbations for Monocular Depth Prediction
A. Wong
Safa Cicek
Stefano Soatto
AAML
MDE
39
43
0
12 Jun 2020
Monocular Depth Estimators: Vulnerabilities and Attacks
Monocular Depth Estimators: Vulnerabilities and Attacks
Alwyn Mathew
Aditya Patra
Jimson Mathew
AAML
MDE
37
9
0
28 May 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Lokender Tiwari
Pan Ji
Quoc-Huy Tran
Bingbing Zhuang
Saket Anand
Manmohan Chandraker
MDE
48
64
0
22 Apr 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection
Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu
Mengye Ren
S. Manivasagam
Ming Liang
Binh Yang
Richard Du
Frank Cheng
R. Urtasun
3DPC
61
238
0
01 Apr 2020
Adversarial Attacks on Monocular Depth Estimation
Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang
Xinge Zhu
Yingwei Li
Xiangqun Chen
Yao Guo
AAML
MDE
62
25
0
23 Mar 2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic
  Segmentation
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation
Xiaogang Xu
Hengshuang Zhao
Jiaya Jia
AAML
32
38
0
14 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
211
1,837
0
03 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
73
375
0
02 Mar 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSL
VLM
90
1,451
0
04 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
73
983
0
29 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through
  Adversarial Attacks with Proposal of a Defense Method
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
Junjie Hu
Takayuki Okatani
AAML
MDE
62
15
0
20 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
161
12,050
0
13 Nov 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object
  Detectors
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
111
264
0
31 Oct 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from
  Monocular Video
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian
Zhichao Li
Naiyan Wang
Huangying Zhan
Chunhua Shen
Ming-Ming Cheng
Ian Reid
MDE
70
509
0
28 Aug 2019
Towards Adversarially Robust Object Detection
Towards Adversarially Robust Object Detection
Haichao Zhang
Jianyu Wang
AAML
ObjD
101
130
0
24 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
151
2,395
0
13 Jun 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
119
751
0
31 May 2019
Are Labels Required for Improving Adversarial Robustness?
Are Labels Required for Improving Adversarial Robustness?
J. Uesato
Jean-Baptiste Alayrac
Po-Sen Huang
Robert Stanforth
Alhussein Fawzi
Pushmeet Kohli
AAML
68
333
0
31 May 2019
Recurrent Neural Network for (Un-)supervised Learning of Monocular
  VideoVisual Odometry and Depth
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang
Stephen M. Pizer
Jan-Michael Frahm
MDE
49
177
0
15 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
78
581
0
06 Apr 2019
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
63
474
0
05 Sep 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
41
1,141
0
06 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
185
3,180
0
01 Feb 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
70
1,094
0
27 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab
O. Mikšík
Philip Torr
AAML
71
308
0
27 Nov 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
SILM
OOD
265
12,029
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
222
8,533
0
16 Aug 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
235
14,893
1
21 Dec 2013
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