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Evaluating Robustness of Deep Image Super-Resolution against Adversarial
  Attacks

Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks

12 April 2019
Jun-Ho Choi
Huan Zhang
Jun-Hyuk Kim
Cho-Jui Hsieh
Jong-Seok Lee
    AAML
    SupR
ArXivPDFHTML

Papers citing "Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks"

18 / 18 papers shown
Title
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Yihao Huang
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
92
2
0
06 Mar 2025
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
267
30,123
0
01 Mar 2022
Image Super-Resolution as a Defense Against Adversarial Attacks
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa
Salman H. Khan
Munawar Hayat
Jianbing Shen
Ling Shao
AAML
SupR
67
175
0
07 Jan 2019
Deep Learning-based Image Super-Resolution Considering Quantitative and
  Perceptual Quality
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Jun-Ho Choi
Jun-Hyuk Kim
Manri Cheon
Jong-Seok Lee
SupR
40
40
0
13 Sep 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
146
3,726
0
01 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
112
391
0
05 Aug 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
103
4,319
0
08 Jul 2018
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual
  Network
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
74
1,118
0
23 Mar 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
80
467
0
31 Jan 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
121
811
0
16 Nov 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
113
1,058
0
06 Nov 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
171
5,904
0
10 Jul 2017
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
D. Song
AAML
140
1,737
0
08 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
469
3,140
0
04 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
136
2,528
0
26 Oct 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
429
18,350
0
27 May 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
271
19,049
0
20 Dec 2014
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
268
14,918
1
21 Dec 2013
1