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Admix: Enhancing the Transferability of Adversarial Attacks

Admix: Enhancing the Transferability of Adversarial Attacks

31 January 2021
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
    AAML
ArXivPDFHTML

Papers citing "Admix: Enhancing the Transferability of Adversarial Attacks"

36 / 36 papers shown
Title
A Simple DropConnect Approach to Transfer-based Targeted Attack
A Simple DropConnect Approach to Transfer-based Targeted Attack
Tongrui Su
Qingbin Li
Shengyu Zhu
Wei Chen
Xueqi Cheng
AAML
64
0
0
24 Apr 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
124
0
0
28 Feb 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
Wenyuan Wu
Zheng Liu
Yong Chen
Chao Su
Dezhong Peng
Xu Wang
AAML
34
0
0
24 Feb 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
38
0
0
31 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup
Improving Transferable Targeted Attacks with Feature Tuning Mixup
K. Liang
Xuelong Dai
Yanjie Li
Dong Wang
Bin Xiao
AAML
146
0
0
23 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
51
6
0
26 Oct 2024
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
X. Li
102
0
0
13 Oct 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
54
6
0
25 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
19
1
0
06 May 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video
  quality metrics
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
Victoria Leonenkova
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
39
3
0
15 Apr 2024
Boosting Transferability in Vision-Language Attacks via Diversification
  along the Intersection Region of Adversarial Trajectory
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Sensen Gao
Xiaojun Jia
Xuhong Ren
Ivor Tsang
Qing-Wu Guo
AAML
36
14
0
19 Mar 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
55
3
0
20 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David A. Wagner
AAML
29
5
0
26 Oct 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
18
36
0
20 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
30
5
0
15 Aug 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
16
11
0
21 Jun 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
37
18
0
20 Apr 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
AAML
DiffM
19
5
0
14 Apr 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
27
35
0
10 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual
  Example
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
19
3
0
30 Jan 2023
Unleashing the Power of Visual Prompting At the Pixel Level
Unleashing the Power of Visual Prompting At the Pixel Level
Junyang Wu
Xianhang Li
Chen Wei
Huiyu Wang
Alan Yuille
Yuyin Zhou
Cihang Xie
VPVLM
VLM
19
31
0
20 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted
  Attacks
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
Anqi Zhao
Tong Chu
Yahao Liu
Wen Li
Jingjing Li
Lixin Duan
AAML
15
16
0
18 Dec 2022
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
16
27
0
21 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
14
20
0
17 Nov 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
AAML
16
2
0
18 Aug 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable
  Perturbations
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
H. Malik
Shahina Kunhimon
Muzammal Naseer
Salman Khan
F. Khan
AAML
12
8
0
18 Jul 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
19
154
0
12 Jul 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark
  Knowledge
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Dingcheng Yang
Zihao Xiao
Wenjian Yu
AAML
23
5
0
16 Jun 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks
Xuechun Han
Anmin Liu
Yifeng Xiong
Yanbo Fan
Kun He
AAML
28
5
0
06 Apr 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
19
56
0
13 Dec 2021
Demystifying the Transferability of Adversarial Attacks in Computer
  Networks
Demystifying the Transferability of Adversarial Attacks in Computer Networks
Ehsan Nowroozi
Yassine Mekdad
Mohammad Hajian Berenjestanaki
Mauro Conti
Abdeslam El Fergougui
AAML
27
32
0
09 Oct 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang
Kun He
AAML
17
376
0
29 Mar 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust
  Generalization
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
158
113
0
05 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
263
5,833
0
08 Jul 2016
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