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Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
v1v2v3v4v5 (latest)

Visually Adversarial Attacks and Defenses in the Physical World: A Survey

3 November 2022
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Visually Adversarial Attacks and Defenses in the Physical World: A Survey"

26 / 76 papers shown
Title
Adversarial camera stickers: A physical camera-based attack on deep
  learning systems
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Billy Li
Frank R. Schmidt
J. Zico Kolter
AAML
59
168
0
21 Mar 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel
Matthias Bethge
SSLFAtt
104
561
0
20 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
160
2,051
0
08 Feb 2019
Self-Driving Cars: A Survey
Self-Driving Cars: A Survey
C. Badue
Rânik Guidolini
Raphael V. Carneiro
Pedro Azevedo
Vinicius B. Cardoso
...
T. M. Paixão
Filipe Wall Mutz
Lucas Veronese
Thiago Oliveira-Santos
Alberto F. de Souza
LRM
117
951
0
14 Jan 2019
Fast Online Object Tracking and Segmentation: A Unifying Approach
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang
Li Zhang
Luca Bertinetto
Weiming Hu
Philip Torr
VOS
93
1,205
0
12 Dec 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
100
270
0
30 Nov 2018
Adversarial Attacks and Defences: A Survey
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAMLOOD
86
683
0
28 Sep 2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
71
207
0
20 Aug 2018
Adversarial Examples in Remote Sensing
Adversarial Examples in Remote Sensing
W. Czaja
Neil Fendley
M. Pekala
Christopher R. Ratto
I-J. Wang
AAML
43
68
0
28 May 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
206
429
0
16 Apr 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
108
1,125
0
19 Mar 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
91
1,097
0
27 Dec 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
125
1,406
0
31 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
85
1,885
0
14 Aug 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
317
12,131
0
19 Jun 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,633
0
25 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC3DV
169
2,243
0
02 Dec 2016
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
AAML
143
1,741
0
08 Nov 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,583
0
16 Aug 2016
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
94
534
0
02 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
545
5,910
0
08 Jul 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
77
3,883
0
30 Jun 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,905
0
14 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,145
0
12 Mar 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,121
0
20 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
460
7,667
0
03 Jul 2012
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