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Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning

Enhancing the Transferability of Adversarial Attacks through Variance Tuning

29 March 2021
Xiaosen Wang
Kun He
    AAML
ArXivPDFHTML

Papers citing "Enhancing the Transferability of Adversarial Attacks through Variance Tuning"

50 / 192 papers shown
Title
How to Backdoor the Knowledge Distillation
How to Backdoor the Knowledge Distillation
C. Wu
Qian Ma
P. Mitra
Sencun Zhu
AAML
32
0
0
30 Apr 2025
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
69
0
0
24 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
Meixi Zheng
Kehan Wu
Yanbo Fan
Rui Huang
Baoyuan Wu
AAML
39
0
0
23 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
151
0
0
20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
AAML
28
0
0
19 Apr 2025
The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability
The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability
Jiani Liu
Zhiyuan Wang
Zeliang Zhang
Chao Huang
Susan Liang
Yunlong Tang
Chenliang Xu
AAML
39
0
0
15 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
34
0
0
11 Apr 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
Yuchen Ren
Zhengyu Zhao
Chenhao Lin
Bo Yang
Lu Zhou
Zhe Liu
Chao Shen
ViT
47
0
0
19 Mar 2025
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
GSBAK^KK: toptoptop-KKK Geometric Score-based Black-box Attack
Md. Farhamdur Reza
Richeng Jin
Tianfu Wu
H. Dai
AAML
47
0
0
17 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
68
1
0
08 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability
Bohan Liu
Xiaosen Wang
AAML
65
0
0
08 Mar 2025
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
Chenhe Gu
Jindong Gu
Andong Hua
Yao Qin
AAML
47
0
0
27 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
37
0
0
24 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
109
0
0
04 Feb 2025
Enhancing Adversarial Transferability via Component-Wise Transformation
Enhancing Adversarial Transferability via Component-Wise Transformation
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
Donglin Wang
AAML
52
0
0
21 Jan 2025
Transferable Adversarial Examples with Bayes Approach
Transferable Adversarial Examples with Bayes Approach
Mingyuan Fan
Cen Chen
Ximeng Liu
Wenzhong Guo
AAML
70
1
0
08 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Dingkang Yang
H. Tang
Bo-wen Li
Wenqiang Zhang
AAML
40
0
0
03 Jan 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
43
0
0
31 Dec 2024
On the Robustness of Distributed Machine Learning against Transfer
  Attacks
On the Robustness of Distributed Machine Learning against Transfer Attacks
Sébastien Andreina
Pascal Zimmer
Ghassan O. Karame
AAML
OOD
73
0
0
18 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
Jin Li
Zitong Yu
Ziqiang He
Zhong Wang
Xiangui Kang
AAML
81
0
0
15 Dec 2024
Sustainable Self-evolution Adversarial Training
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
71
0
0
03 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
157
0
0
23 Nov 2024
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Fengfan Zhou
Bangjie Yin
Hefei Ling
Qianyu Zhou
Wenxuan Wang
AAML
66
0
0
23 Nov 2024
Transferable Adversarial Attacks against ASR
Transferable Adversarial Attacks against ASR
Xiaoxue Gao
Zexin Li
Yiming Chen
Cong Liu
Hao Li
AAML
36
1
0
14 Nov 2024
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning
  for Vision-Language Models
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
Jonggyu Jang
Hyeonsu Lyu
Jungyeon Koh
H. Yang
VLM
AAML
42
670
0
01 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
63
6
0
26 Oct 2024
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided
  Adversarial Data Transformation
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
Yating Ma
Xiaogang Xu
Liming Fang
Zhe Liu
AAML
28
0
0
24 Oct 2024
Detecting Adversarial Examples
Detecting Adversarial Examples
Furkan Mumcu
Yasin Yilmaz
AAML
21
1
0
22 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object
  Detectors
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
30
1
0
14 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
33
2
0
09 Oct 2024
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
Jiaming Zhang
Junhong Ye
Xingjun Ma
Yige Li
Yunfan Yang
Jitao Sang
Dit-Yan Yeung
Dit-Yan Yeung
AAML
VLM
34
0
0
07 Oct 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network
  Predictions
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions
Samuel Leblanc
Aiky Rasolomanana
Marco Armenta
35
0
0
20 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
60
1
0
06 Sep 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
62
6
0
25 Aug 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Cong Wan
Yuhang He
Xiang Song
Yihong Gong
DiffM
AAML
37
7
0
20 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen
Zhou Feng
Rui Zeng
Yuwen Pu
Chunyi Zhou
Yi Jiang
Yuyou Gan
Jinbao Li
Shouling Ji
AAML
40
0
0
18 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
30
1
0
31 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on
  Attention Shift
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Qingyuan Zeng
Yunpeng Gong
Min Jiang
AAML
32
2
0
18 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via
  Generalized Latent Infection
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun
Shengming Yuan
Xuanhan Wang
Lianli Gao
Jingkuan Song
AAML
29
2
0
17 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
68
4
0
14 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources,
  Advances, and Future Trends
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu
Mingyu Yang
Xiaoye Qu
Pan Zhou
Yu Cheng
Wei Hu
ELM
AAML
30
25
0
10 Jul 2024
Improving the Transferability of Adversarial Examples by Feature
  Augmentation
Improving the Transferability of Adversarial Examples by Feature Augmentation
Donghua Wang
Wen Yao
Tingsong Jiang
Xiaohu Zheng
Junqi Wu
Xiaoqian Chen
AAML
53
0
0
09 Jul 2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial
  Attack Transferability
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying
Qianmu Li
Tao Wang
Zhichao Lian
Shunmei Meng
Xuyun Zhang
33
0
0
02 Jul 2024
Enhancing Adversarial Transferability via Information Bottleneck
  Constraints
Enhancing Adversarial Transferability via Information Bottleneck Constraints
Biqing Qi
Junqi Gao
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
26
2
0
08 Jun 2024
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial
  Attacks
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Feiyang Wang
Xingquan Zuo
Hai Huang
Gang Chen
AAML
40
1
0
07 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
31
1
0
04 Jun 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial
  Transferability across Multimodal Large Language Models
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models
Hao-Ran Cheng
Erjia Xiao
Jiahang Cao
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
AAML
64
7
0
30 May 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
47
3
0
27 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional
  Sampling
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling
Chunlin Qiu
Yiheng Duan
Lingchen Zhao
Qian Wang
AAML
37
2
0
25 May 2024
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
39
14
0
23 May 2024
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