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Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

6 October 2021
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
    AAML
    ViT
ArXivPDFHTML

Papers citing "Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs"

50 / 57 papers shown
Title
Exploring Synergistic Ensemble Learning: Uniting CNNs, MLP-Mixers, and Vision Transformers to Enhance Image Classification
Exploring Synergistic Ensemble Learning: Uniting CNNs, MLP-Mixers, and Vision Transformers to Enhance Image Classification
Mk Bashar
Ocean Monjur
Samia Islam
Mohammad Galib Shams
Niamul Quader
UQCV
29
0
0
12 Apr 2025
One Pixel is All I Need
One Pixel is All I Need
Deng Siqin
Zhou Xiaoyi
ViT
83
0
0
14 Dec 2024
Impact of Regularization on Calibration and Robustness: from the
  Representation Space Perspective
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park
Juyeop Kim
Jong-Seok Lee
23
1
0
05 Oct 2024
Exploring the Adversarial Robustness of CLIP for AI-generated Image
  Detection
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
Vincenzo De Rosa
Fabrizio Guillaro
Giovanni Poggi
D. Cozzolino
L. Verdoliva
AAML
52
4
0
28 Jul 2024
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation
  Models
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
H. Malik
Numan Saeed
Asif Hanif
Muzammal Naseer
Mohammad Yaqub
Salman Khan
F. Khan
48
0
0
12 Jun 2024
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
32
3
0
29 Mar 2024
Towards Robust Semantic Segmentation against Patch-based Attack via
  Attention Refinement
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
Zheng Yuan
Jie M. Zhang
Yude Wang
Shiguang Shan
Xilin Chen
AAML
25
1
0
03 Jan 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
33
0
0
08 Dec 2023
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for
  Vision LLMs
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
Haoqin Tu
Chenhang Cui
Zijun Wang
Yiyang Zhou
Bingchen Zhao
Junlin Han
Wangchunshu Zhou
Huaxiu Yao
Cihang Xie
MLLM
45
70
0
27 Nov 2023
Attention Deficit is Ordered! Fooling Deformable Vision Transformers
  with Collaborative Adversarial Patches
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches
Quazi Mishkatul Alam
Bilel Tarchoun
Ihsen Alouani
Nael B. Abu-Ghazaleh
AAML
ViT
20
1
0
21 Nov 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
S. M. Fazle
J. Mondal
Meem Arafat Manab
Xi Xiao
Sarfaraz Newaz
AAML
19
0
0
18 Oct 2023
The Efficacy of Transformer-based Adversarial Attacks in Security
  Domains
The Efficacy of Transformer-based Adversarial Attacks in Security Domains
Kunyang Li
Kyle Domico
Jean-Charles Noirot Ferrand
Patrick D. McDaniel
AAML
16
0
0
17 Oct 2023
Investigating the Robustness and Properties of Detection Transformers
  (DETR) Toward Difficult Images
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images
Zhao Ning Zou
Yuhang Zhang
Robert Wijaya
10
0
0
12 Oct 2023
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
Hao Cheng
Jinhao Duan
Hui Li
Lyutianyang Zhang
Jiahang Cao
Ping Wang
Jize Zhang
Kaidi Xu
Renjing Xu
AAML
19
3
0
23 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted
  Execution Environments
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
Simon Queyrut
V. Schiavoni
Pascal Felber
AAML
FedML
18
6
0
13 Sep 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box
  Attacks
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Jindong Gu
Fangyun Wei
Philip H. S. Torr
Han Hu
AAML
12
1
0
12 Sep 2023
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal
  and Robust Vehicle Evasion
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
Naufal Suryanto
Yongsu Kim
Harashta Tatimma Larasati
Hyoeun Kang
Thi-Thu-Huong Le
Yoonyoung Hong
Hunmin Yang
Se-Yoon Oh
Howon Kim
AAML
16
22
0
14 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated
  Learning
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut
Yérom-David Bromberg
V. Schiavoni
FedML
AAML
9
1
0
08 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
21
2
0
01 Aug 2023
On the Effectiveness of Spectral Discriminators for Perceptual Quality
  Improvement
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Xin Luo
Yunan Zhu
Shunxin Xu
Dong Liu
10
11
0
22 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model
  Robustness
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
25
10
0
21 Jul 2023
Reliable Evaluation of Adversarial Transferability
Reliable Evaluation of Adversarial Transferability
Wenqian Yu
Jindong Gu
Zhijiang Li
Philip H. S. Torr
AAML
17
8
0
14 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Yu Qiao
Chaoning Zhang
Taegoo Kang
Donghun Kim
Chenshuang Zhang
Choong Seon Hong
AAML
13
33
0
13 Jun 2023
Frequency-Based Vulnerability Analysis of Deep Learning Models against
  Image Corruptions
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions
Harshitha Machiraju
Michael H. Herzog
P. Frossard
6
0
0
12 Jun 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial
  Examples
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Chenshuang Zhang
Chaoning Zhang
Taegoo Kang
Donghun Kim
Sung-Ho Bae
In So Kweon
AAML
VLM
35
3
0
01 May 2023
Robustifying Token Attention for Vision Transformers
Robustifying Token Attention for Vision Transformers
Yong Guo
David Stutz
Bernt Schiele
ViT
6
24
0
20 Mar 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers
CertViT: Certified Robustness of Pre-Trained Vision Transformers
K. Gupta
S. Verma
ViT
9
4
0
01 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on
  Transformers
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Hugo Lemarchant
Liang Li
Yiming Qian
Yuta Nakashima
Hajime Nagahara
ViT
AAML
22
0
0
31 Jan 2023
Robust Transformer with Locality Inductive Bias and Feature
  Normalization
Robust Transformer with Locality Inductive Bias and Feature Normalization
Omid Nejati Manzari
Hossein Kashiani
Hojat Asgarian Dehkordi
S. B. Shokouhi
ViT
11
14
0
27 Jan 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial
  Defense for COVID-19 Detection
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OOD
MedIm
16
5
0
30 Nov 2022
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
13
5
0
29 Nov 2022
Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast
  Fourier Transformation
Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast Fourier Transformation
Hailong Shu
14
3
0
23 Nov 2022
When Adversarial Training Meets Vision Transformers: Recipes from
  Training to Architecture
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
ViT
22
52
0
14 Oct 2022
Curved Representation Space of Vision Transformers
Curved Representation Space of Vision Transformers
Juyeop Kim
Junha Park
Songkuk Kim
Jongseok Lee
ViT
22
6
0
11 Oct 2022
Attacking Compressed Vision Transformers
Attacking Compressed Vision Transformers
Swapnil Parekh
Devansh Shah
Pratyush Shukla
AAML
9
1
0
28 Sep 2022
A Light Recipe to Train Robust Vision Transformers
A Light Recipe to Train Robust Vision Transformers
Edoardo Debenedetti
Vikash Sehwag
Prateek Mittal
ViT
19
68
0
15 Sep 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral
  Perspective
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective
Gihyun Kim
Juyeop Kim
Jong-Seok Lee
AAML
ViT
6
4
0
20 Aug 2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy
  Problem
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem
Zheng Wang
Wenjie Ruan
ViT
21
8
0
01 Aug 2022
Towards Efficient Adversarial Training on Vision Transformers
Towards Efficient Adversarial Training on Vision Transformers
Boxi Wu
Jindong Gu
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
ViT
AAML
23
37
0
21 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches
Adversarial Robustness Assessment of NeuroEvolution Approaches
Inês Valentim
Nuno Lourenço
Nuno Antunes
AAML
13
1
0
12 Jul 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan
Yingjie Lao
Peng Yang
Ping Li
AAML
14
20
0
24 Jun 2022
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
Harshitha Machiraju
Oh-hyeon Choung
Michael H. Herzog
P. Frossard
AAML
VLM
OOD
9
6
0
18 May 2022
Boosting Adversarial Transferability of MLP-Mixer
Boosting Adversarial Transferability of MLP-Mixer
Haoran Lyu
Yajie Wang
Yu-an Tan
Huipeng Zhou
Yuhang Zhao
Quan-xin Zhang
AAML
6
1
0
26 Apr 2022
Investigating Top-$k$ White-Box and Transferable Black-box Attack
Investigating Top-kkk White-Box and Transferable Black-box Attack
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
8
42
0
30 Mar 2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for
  Adversarial Patch Robustness
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
Giulio Lovisotto
Nicole Finnie
Mauricio Muñoz
Chaithanya Kumar Mummadi
J. H. Metzen
AAML
ViT
17
32
0
25 Mar 2022
A Comprehensive Study of Image Classification Model Sensitivity to
  Foregrounds, Backgrounds, and Visual Attributes
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
Mazda Moayeri
Phillip E. Pope
Yogesh Balaji
S. Feizi
VLM
17
52
0
26 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
660
0
24 Jan 2022
Are Vision Transformers Robust to Patch Perturbations?
Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu
Volker Tresp
Yao Qin
AAML
ViT
17
59
0
20 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Yinghui Li
Li Tao
Dun Liang
Haitao Zheng
77
96
0
07 Nov 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
248
618
0
21 May 2021
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