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Improving the Transferability of Adversarial Attacks by an Input Transpose

2 March 2025
Qing Wan
Shilong Deng
Xun Wang
    AAML
ArXiv (abs)PDFHTML

Papers citing "Improving the Transferability of Adversarial Attacks by an Input Transpose"

28 / 28 papers shown
Title
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
96
17
0
23 May 2024
Boosting Adversarial Transferability across Model Genus by
  Deformation-Constrained Warping
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Qinliang Lin
Cheng Luo
Zenghao Niu
Xilin He
Weicheng Xie
Yuanbo Hou
Linlin Shen
Siyang Song
AAML
96
13
0
06 Feb 2024
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Tao Wu
Tie-Mei Luo
D. Wunsch
AAML
68
9
0
09 Jul 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Zhijin Ge
Hongying Liu
Xiaosen Wang
Fanhua Shang
Yuanyuan Liu
AAML
78
47
0
08 Jun 2023
Introducing Competition to Boost the Transferability of Targeted
  Adversarial Examples through Clean Feature Mixup
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun
Myung-Joon Kwon
Seungju Cho
Yoonji Kim
Changick Kim
AAML
72
18
0
24 May 2023
Generating Adversarial Examples with Better Transferability via Masking
  Unimportant Parameters of Surrogate Model
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
Dingcheng Yang
Wenjian Yu
Zihao Xiao
Jiaqi Luo
AAMLDiffM
55
5
0
14 Apr 2023
Boosting the Transferability of Adversarial Attacks with Global Momentum
  Initialization
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
95
29
0
21 Nov 2022
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
80
165
0
12 Jul 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
108
104
0
10 Mar 2022
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
Backpropagating Linearly Improves Transferability of Adversarial
  Examples
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo
Qizhang Li
Hao Chen
FedMLAAML
75
116
0
07 Dec 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
117
95
0
08 Oct 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
AAMLSILM
96
314
0
14 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
553
42,639
0
03 Dec 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
97
145
0
28 May 2019
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
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
Batch Renormalization: Towards Reducing Minibatch Dependence in
  Batch-Normalized Models
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
BDL
67
541
0
10 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
803
36,892
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
547
5,912
0
08 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
356
8,002
0
23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
382
14,268
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,129
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
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