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Diversifying the High-level Features for better Adversarial
  Transferability

Diversifying the High-level Features for better Adversarial Transferability

20 April 2023
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
    AAML
ArXivPDFHTML

Papers citing "Diversifying the High-level Features for better Adversarial Transferability"

50 / 64 papers shown
Title
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
120
2
0
08 Mar 2025
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
87
3
0
09 Oct 2024
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial Transferability
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
45
66
0
26 Sep 2023
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
81
19
0
21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
66
40
0
20 Aug 2023
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
78
164
0
12 Jul 2022
Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
78
135
0
31 Mar 2022
Robust Textual Embedding against Word-level Adversarial Attacks
Robust Textual Embedding against Word-level Adversarial Attacks
Yichen Yang
Xiaosen Wang
Kun He
AAML
24
17
0
28 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
85
65
0
27 Jan 2022
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
66
60
0
13 Dec 2021
End2End Occluded Face Recognition by Masking Corrupted Features
End2End Occluded Face Recognition by Masking Corrupted Features
Haibo Qiu
Dihong Gong
Zhifeng Li
Wei Liu
Dacheng Tao
CVBM
45
81
0
21 Aug 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
67
216
0
29 Jul 2021
Multi-stage Optimization based Adversarial Training
Multi-stage Optimization based Adversarial Training
Xiaosen Wang
Chuanbiao Song
Liwei Wang
Kun He
AAML
26
5
0
26 Jun 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang
Kun He
AAML
90
392
0
29 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
447
21,418
0
25 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum
Boosting Adversarial Transferability through Enhanced Momentum
Xiaosen Wang
Jiadong Lin
Han Hu
Jingdong Wang
Kun He
AAML
83
77
0
19 Mar 2021
LARNet: Lie Algebra Residual Network for Face Recognition
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang
Xiaohong Jia
Dihong Gong
Dong Yan
Zhifeng Li
Wei Liu
CVBM
45
27
0
15 Mar 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
117
201
0
31 Jan 2021
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
637
41,003
0
22 Oct 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
69
260
0
08 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
108
181
0
28 May 2020
Skip Connections Matter: On the Transferability of Adversarial Examples
  Generated with ResNets
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Xingjun Ma
AAML
SILM
76
314
0
14 Feb 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
85
397
0
01 Jan 2020
Deep Double Descent: Where Bigger Models and More Data Hurt
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran
Gal Kaplun
Yamini Bansal
Tristan Yang
Boaz Barak
Ilya Sutskever
119
940
0
04 Dec 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
84
279
0
10 Nov 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
68
569
0
17 Aug 2019
Enhancing Adversarial Example Transferability with an Intermediate Level
  Attack
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Qian Huang
Isay Katsman
Horace He
Zeqi Gu
Serge J. Belongie
Ser-Nam Lim
SILM
AAML
80
246
0
23 Jul 2019
NATTACK: Learning the Distributions of Adversarial Examples for an
  Improved Black-Box Attack on Deep Neural Networks
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li
Lijun Li
Liqiang Wang
Tong Zhang
Boqing Gong
AAML
54
245
0
01 May 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
80
526
0
29 Apr 2019
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial
  Examples
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples
Xiaosen Wang
Kun He
Chuanbiao Song
Liwei Wang
John E. Hopcroft
GAN
30
33
0
16 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
SILM
AAML
88
847
0
05 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
147
2,038
0
08 Feb 2019
Learning Transferable Adversarial Examples via Ghost Networks
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li
S. Bai
Yuyin Zhou
Cihang Xie
Zhishuai Zhang
Alan Yuille
AAML
73
136
0
09 Dec 2018
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
105
908
0
09 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
96
223
0
30 Nov 2018
On Offline Evaluation of Vision-based Driving Models
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
61
103
0
13 Sep 2018
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
84
339
0
25 May 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
163
1,200
0
23 Apr 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
106
1,121
0
19 Mar 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial
  Examples
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu
Qi Liu
Tao Liu
Nuo Xu
Xue Lin
Yanzhi Wang
Wujie Wen
AAML
MQ
49
262
0
14 Mar 2018
Certified Defenses against Adversarial Examples
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
105
968
0
29 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
D. Song
GAN
AAML
115
898
0
08 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box
  Machine Learning Models
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel
Jonas Rauber
Matthias Bethge
AAML
65
1,345
0
12 Dec 2017
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
83
886
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
113
1,058
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
112
1,404
0
31 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
80
1,879
0
14 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
SILM
OOD
304
12,063
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
2,725
0
19 May 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
88
794
0
18 Apr 2017
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