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A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

28 February 2023
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
    OOD
    VLM
    AAML
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Papers citing "A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking"

50 / 95 papers shown
Title
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
91
0
0
20 May 2025
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
Farhad Pourkamali-Anaraki
166
0
0
24 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
75
0
0
12 Apr 2025
Trading Inference-Time Compute for Adversarial Robustness
Trading Inference-Time Compute for Adversarial Robustness
Wojciech Zaremba
Evgenia Nitishinskaya
Boaz Barak
Stephanie Lin
Sam Toyer
...
Rachel Dias
Eric Wallace
Kai Y. Xiao
Johannes Heidecke
Amelia Glaese
LRM
AAML
135
21
0
31 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
103
0
0
31 Dec 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
116
1
0
20 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks
On the Robustness of Adversarial Training Against Uncertainty Attacks
Emanuele Ledda
Giovanni Scodeller
Daniele Angioni
Giorgio Piras
Antonio Emanuele Cinà
Giorgio Fumera
Battista Biggio
Fabio Roli
AAML
105
1
0
29 Oct 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
112
12
0
01 Aug 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
104
1
0
21 Jun 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
63
0
0
08 Dec 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
88
4
0
27 May 2023
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial
  Viewpoints
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Yinpeng Dong
Shouwei Ruan
Hang Su
Cai Kang
Xingxing Wei
Junyi Zhu
AAML
48
50
0
08 Oct 2022
A Light Recipe to Train Robust Vision Transformers
A Light Recipe to Train Robust Vision Transformers
Edoardo Debenedetti
Vikash Sehwag
Prateek Mittal
ViT
69
71
0
15 Sep 2022
Can CNNs Be More Robust Than Transformers?
Can CNNs Be More Robust Than Transformers?
Zeyu Wang
Yutong Bai
Yuyin Zhou
Cihang Xie
UQCV
OOD
47
46
0
07 Jun 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
109
5,137
0
10 Jan 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
51
58
0
22 Dec 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
168
1,344
0
18 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
427
7,705
0
11 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
229
263
0
10 Nov 2021
Data Augmentation Can Improve Robustness
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
53
285
0
09 Nov 2021
A Frequency Perspective of Adversarial Robustness
A Frequency Perspective of Adversarial Robustness
Shishira R. Maiya
Max Ehrlich
Vatsal Agarwal
Ser-Nam Lim
Tom Goldstein
Abhinav Shrivastava
AAML
37
39
0
26 Oct 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
79
102
0
07 Oct 2021
RobustART: Benchmarking Robustness on Architecture Design and Training
  Techniques
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Ruihao Gong
Yan Wang
Aishan Liu
Jiakai Wang
...
Xianglong Liu
D. Song
Alan Yuille
Philip Torr
Dacheng Tao
VLM
AAML
36
108
0
11 Sep 2021
XCiT: Cross-Covariance Image Transformers
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
...
Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
ViT
131
508
0
17 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks
Reveal of Vision Transformers Robustness against Adversarial Attacks
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
ViT
29
60
0
07 Jun 2021
Exploring Memorization in Adversarial Training
Exploring Memorization in Adversarial Training
Yinpeng Dong
Ke Xu
Xiao Yang
Tianyu Pang
Zhijie Deng
Hang Su
Jun Zhu
TDI
51
73
0
03 Jun 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
57
312
0
17 May 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
144
1,857
0
05 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
100
224
0
31 Mar 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
62
142
0
29 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang
Kun He
AAML
74
390
0
29 Mar 2021
Understanding Robustness of Transformers for Image Classification
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli
Ayan Chakrabarti
Daniel Glasner
Daliang Li
Thomas Unterthiner
Andreas Veit
ViT
77
384
0
26 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
396
21,281
0
25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
806
29,167
0
26 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on
  ImageNet
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Li-xin Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
ViT
117
1,931
0
28 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness
A Comprehensive Evaluation Framework for Deep Model Robustness
Jun Guo
Wei Bao
Jiakai Wang
Yuqing Ma
Xing Gao
Gang Xiao
Aishan Liu
Zehao Zhao
Xianglong Liu
Wenjun Wu
AAML
ELM
51
59
0
24 Jan 2021
Why do classifier accuracies show linear trends under distribution
  shift?
Why do classifier accuracies show linear trends under distribution shift?
Horia Mania
S. Sra
OOD
61
19
0
31 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
524
40,739
0
22 Oct 2020
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
302
700
0
19 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
47
331
0
07 Oct 2020
Bag of Tricks for Adversarial Training
Bag of Tricks for Adversarial Training
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
57
268
0
01 Oct 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
62
424
0
16 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
294
1,727
0
29 Jun 2020
Are we done with ImageNet?
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
116
399
0
12 Jun 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Tianlong Chen
Sijia Liu
Shiyu Chang
Yu Cheng
Lisa Amini
Zhangyang Wang
AAML
55
247
0
28 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
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
94
800
0
26 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramèr
Nicholas Carlini
Wieland Brendel
Aleksander Madry
AAML
229
831
0
19 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
116
90
0
26 Jan 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
97
1,299
0
05 Dec 2019
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