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Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

5 October 2022
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
    AAML
ArXiv (abs)PDFHTMLGithub (25★)

Papers citing "Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks"

50 / 56 papers shown
Title
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
154
12
0
01 Aug 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou
Qianyu Zhou
Hefei Ling
Xuequan Lu
AAML
113
3
0
27 May 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Beitao Chen
Xinyu Lyu
Lianli Gao
Jingkuan Song
Hengtao Shen
MLLM
143
12
0
24 May 2024
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
82
165
0
12 Jul 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Ye Liu
Yaya Cheng
Lianli Gao
Xianglong Liu
Qilong Zhang
Jingkuan Song
AAML
79
61
0
10 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
134
21
0
09 Mar 2022
Understanding and Improving Graph Injection Attack by Promoting
  Unnoticeability
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
AAML
117
86
0
16 Feb 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
90
484
0
14 Feb 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
136
65
0
27 Jan 2022
Fast Gradient Non-sign Methods
Fast Gradient Non-sign Methods
Yaya Cheng
Jingkuan Song
Xiaosu Zhu
Qilong Zhang
Lianli Gao
Heng Tao Shen
AAML
91
11
0
25 Oct 2021
Feature Importance-aware Transferable Adversarial Attacks
Feature Importance-aware Transferable Adversarial Attacks
Peng Kuang
Hengchang Guo
Zhifei Zhang
Wenxin Liu
Zhan Qin
K. Ren
AAML
74
217
0
29 Jul 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
80
65
0
29 Jul 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
151
513
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
91
95
0
08 Jun 2021
Feature Space Targeted Attacks by Statistic Alignment
Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao
Yaya Cheng
Qilong Zhang
Xing Xu
Jingkuan Song
AAML
62
33
0
25 May 2021
Staircase Sign Method for Boosting Adversarial Attacks
Staircase Sign Method for Boosting Adversarial Attacks
Qilong Zhang
Xiaosu Zhu
Jingkuan Song
Lianli Gao
Heng Tao Shen
AAML
70
13
0
20 Apr 2021
Going deeper with Image Transformers
Going deeper with Image Transformers
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jégou
ViT
165
1,021
0
31 Mar 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
520
582
0
30 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
470
21,603
0
25 Mar 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Lianli Gao
Qilong Zhang
Jingkuan Song
Heng Tao Shen
AAML
93
19
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
389
6,805
0
23 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
684
41,483
0
22 Oct 2020
Patch-wise Attack for Fooling Deep Neural Network
Patch-wise Attack for Fooling Deep Neural Network
Lianli Gao
Qilong Zhang
Jingkuan Song
Xianglong Liu
Heng Tao Shen
AAML
81
141
0
14 Jul 2020
A Self-supervised Approach for Adversarial Robustness
A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
87
260
0
08 Jun 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
118
1,480
0
19 Apr 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
207
227
0
08 Mar 2020
ColorFool: Semantic Adversarial Colorization
ColorFool: Semantic Adversarial Colorization
Ali Shahin Shamsabadi
Ricardo Sánchez-Matilla
Andrea Cavallaro
AAML
74
121
0
25 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with
  Perceptual Color Distance
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
83
147
0
06 Nov 2019
EdgeFool: An Adversarial Image Enhancement Filter
EdgeFool: An Adversarial Image Enhancement Filter
Ali Shahin Shamsabadi
Changjae Oh
Andrea Cavallaro
AAML
41
23
0
27 Oct 2019
Segmentation Transformer: Object-Contextual Representations for Semantic
  Segmentation
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan
Xiaokang Chen
Xilin Chen
Jingdong Wang
ViT
239
1,420
0
24 Sep 2019
Functional Adversarial Attacks
Functional Adversarial Attacks
Cassidy Laidlaw
Soheil Feizi
AAML
92
185
0
29 May 2019
Unrestricted Adversarial Examples via Semantic Manipulation
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad
Min Jin Chong
Kaizhao Liang
Yangqiu Song
David A. Forsyth
AAML
77
152
0
12 Apr 2019
Evading Defenses to Transferable Adversarial Examples by
  Translation-Invariant Attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILMAAML
90
851
0
05 Apr 2019
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
128
912
0
09 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
121
270
0
30 Nov 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GANAAML
216
307
0
21 May 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
113
1,125
0
19 Mar 2018
Semantic Adversarial Examples
Semantic Adversarial Examples
Hossein Hosseini
Radha Poovendran
GANAAML
95
199
0
16 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
218
19,353
0
13 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
87
888
0
08 Dec 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
122
1,062
0
06 Nov 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
135
1,406
0
31 Oct 2017
NIMA: Neural Image Assessment
NIMA: Neural Image Assessment
Hossein Talebi
P. Milanfar
3DH
85
910
0
15 Sep 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
75
1,361
0
28 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
319
12,151
0
19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,729
0
19 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,900
0
17 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
335
20,110
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
828
36,892
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,587
0
16 Aug 2016
12
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