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Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
v1v2v3 (latest)

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

16 March 2022
Y. Fu
Shunyao Zhang
Shan-Hung Wu
Cheng Wan
Yingyan Lin
    AAML
ArXiv (abs)PDFHTML

Papers citing "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?"

50 / 70 papers shown
Title
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAMLViT
101
1
0
15 Mar 2024
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu
Qixuan Yu
Yang Zhang
Shan-Hung Wu
Ouyang Xu
David D. Cox
Yingyan Lin
AAMLOOD
89
30
0
26 Oct 2021
Towards Transferable Adversarial Attacks on Vision Transformers
Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei
Jingjing Chen
Micah Goldblum
Zuxuan Wu
Tom Goldstein
Yu-Gang Jiang
ViTAAML
96
120
0
09 Sep 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
189
2,930
0
23 Aug 2021
CSWin Transformer: A General Vision Transformer Backbone with
  Cross-Shaped Windows
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong
Jianmin Bao
Dongdong Chen
Weiming Zhang
Nenghai Yu
Lu Yuan
Dong Chen
B. Guo
ViT
152
982
0
01 Jul 2021
Focal Self-attention for Local-Global Interactions in Vision
  Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Xiyang Dai
Bin Xiao
Lu Yuan
Jianfeng Gao
ViT
80
435
0
01 Jul 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
52
769
0
28 Jun 2021
Video Swin Transformer
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
106
1,482
0
24 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
99
213
0
17 Jun 2021
On Improving Adversarial Transferability of Vision Transformers
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Fahad Shahbaz Khan
Fatih Porikli
ViT
82
95
0
08 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
43
60
0
07 Jun 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
205
1,467
0
12 May 2021
Self-Supervised Learning with Swin Transformers
Self-Supervised Learning with Swin Transformers
Zhenda Xie
Yutong Lin
Zhuliang Yao
Zheng Zhang
Qi Dai
Yue Cao
Han Hu
ViT
76
183
0
10 May 2021
Conformer: Local Features Coupling Global Representations for Visual
  Recognition
Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng
Wei Huang
Shanzhi Gu
Lingxi Xie
Yaowei Wang
Jianbin Jiao
QiXiang Ye
ViT
63
544
0
09 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
694
6,079
0
29 Apr 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
82
1,020
0
28 Apr 2021
VidTr: Video Transformer Without Convolutions
VidTr: Video Transformer Without Convolutions
Yanyi Zhang
Xinyu Li
Chunhui Liu
Bing Shuai
Yi Zhu
Biagio Brattoli
Hao Chen
I. Marsic
Joseph Tighe
ViT
219
196
0
23 Apr 2021
Multiscale Vision Transformers
Multiscale Vision Transformers
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
132
1,259
0
22 Apr 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
157
1,864
0
05 Apr 2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
Ben Graham
Alaaeldin El-Nouby
Hugo Touvron
Pierre Stock
Armand Joulin
Hervé Jégou
Matthijs Douze
ViT
78
788
0
02 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
124
224
0
31 Mar 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
152
1,910
0
29 Mar 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision Transformer
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
222
2,150
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
90
385
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
453
21,439
0
25 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
69
75
0
17 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,898
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
387
6,768
0
23 Dec 2020
Toward Transformer-Based Object Detection
Toward Transformer-Based Object Detection
Josh Beal
Eric Kim
Eric Tzeng
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
91
215
0
17 Dec 2020
End-to-End Video Instance Segmentation with Transformers
End-to-End Video Instance Segmentation with Transformers
Yuqing Wang
Zhaoliang Xu
Xinlong Wang
Chunhua Shen
Baoshan Cheng
Hao Shen
Huaxia Xia
ViT
79
691
0
30 Nov 2020
Object Hider: Adversarial Patch Attack Against Object Detectors
Object Hider: Adversarial Patch Attack Against Object Detectors
Yusheng Zhao
Huanqian Yan
Xingxing Wei
AAML
37
30
0
28 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong
Dongdong Chen
Jianmin Bao
Chuan Qin
Lu Yuan
Weiming Zhang
Nenghai Yu
Dong Chen
AAML
47
63
0
26 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models
Dynamic Adversarial Patch for Evading Object Detection Models
Shahar Hoory
T. Shapira
A. Shabtai
Yuval Elovici
AAML
68
41
0
25 Oct 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
659
41,103
0
22 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 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
221
1,846
0
03 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
174
1,221
0
19 Jan 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAMLOOD
138
1,179
0
12 Jan 2020
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
85
988
0
29 Nov 2019
What's Hidden in a Randomly Weighted Neural Network?
What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
66
357
0
29 Nov 2019
Sparse and Imperceivable Adversarial Attacks
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
97
199
0
11 Sep 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
60
578
0
17 May 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
132
1,249
0
29 Apr 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
65
183
0
20 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
152
2,044
0
08 Feb 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2
  Adversarial Attacks and Defenses
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony
L. G. Hafemann
Luiz Eduardo Soares de Oliveira
Ismail Ben Ayed
R. Sabourin
Eric Granger
AAML
57
298
0
23 Nov 2018
SparseFool: a few pixels make a big difference
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
58
199
0
06 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
78
679
0
28 Sep 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas
Logan Engstrom
Aleksander Madry
MLAUAAML
97
375
0
20 Jul 2018
DPatch: An Adversarial Patch Attack on Object Detectors
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu
Huanrui Yang
Ziwei Liu
Linghao Song
Hai Helen Li
Yiran Chen
AAMLObjD
57
293
0
05 Jun 2018
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