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Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective

9 October 2022
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
    AAML
ArXivPDFHTML

Papers citing "Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective"

38 / 38 papers shown
Title
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Xia Du
Jiajie Zhu
Jizhe Zhou
Chi-man Pun
Zheng Lin
Cong Wu
Zhe Chen
Jun Luo
AAML
26
0
0
11 May 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
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation
Dawei Zhou
Suzhi Gang
Decheng Liu
Tongliang Liu
N. Wang
Xinbo Gao
AAML
39
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
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Lingguag Hao
K. Hao
Bing Wei
Xue-song Tang
FedML
AAML
61
0
0
23 Feb 2025
With Great Backbones Comes Great Adversarial Transferability
With Great Backbones Comes Great Adversarial Transferability
Erik Arakelyan
Karen Hambardzumyan
Davit Papikyan
Pasquale Minervini
Albert Gordo
Isabelle Augenstein
Aram H. Markosyan
AAML
70
0
0
21 Jan 2025
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
Xuzhao Li
113
0
0
13 Oct 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
34
1
0
11 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
62
1
0
06 Sep 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical
  Context Descriptions
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLM
OODD
58
4
0
23 Jul 2024
Rethinking the Vulnerabilities of Face Recognition Systems:From a
  Practical Perspective
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
Jiahao Chen
Zhiqiang Shen
Yuwen Pu
Chunyi Zhou
Changjiang Li
Jiliang Li
Ting Wang
Shouling Ji
AAML
46
1
0
21 May 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li
Haoke Xiao
Lv Tang
30
9
0
01 May 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
Attacking Transformers with Feature Diversity Adversarial Perturbation
Chenxing Gao
Hang Zhou
Junqing Yu
Yuteng Ye
Jiale Cai
Junle Wang
Wei Yang
AAML
32
3
0
10 Mar 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of
  SAR ATR
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
Bowen Peng
Bo Peng
Jingyuan Xia
Tianpeng Liu
Yongxiang Liu
Li Liu
AAML
32
4
0
30 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial
  Attacks
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
Meixi Zheng
Xuanchen Yan
Zihao Zhu
Hongrui Chen
Baoyuan Wu
ELM
MLAU
AAML
34
8
0
28 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language
  Pre-training Models via Self-Augmentation
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He
Xiaojun Jia
Siyuan Liang
Tianrui Lou
Yang Liu
Xiaochun Cao
AAML
VLM
31
23
0
08 Dec 2023
TranSegPGD: Improving Transferability of Adversarial Examples on
  Semantic Segmentation
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation
Xiaojun Jia
Jindong Gu
Yihao Huang
Simeng Qin
Qing-Wu Guo
Yang Liu
Xiaochun Cao
38
2
0
03 Dec 2023
Flatness-aware Adversarial Attack
Flatness-aware Adversarial Attack
Mingyuan Fan
Xiaodan Li
Cen Chen
Yinggui Wang
AAML
18
0
0
10 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically,
  and Fairly
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
ELM
AAML
35
2
0
02 Nov 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial
  Training via Sampling Subnetworks
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks
Xiaojun Jia
Jianshu Li
Jindong Gu
Yang Bai
Xiaochun Cao
AAML
24
9
0
24 Oct 2023
Towards Deep Learning Models Resistant to Transfer-based Adversarial
  Attacks via Data-centric Robust Learning
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning
Yulong Yang
Chenhao Lin
Xiang Ji
Qiwei Tian
Qian Li
Hongshan Yang
Zhibo Wang
Chao Shen
30
7
0
15 Oct 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free
  Substitute Attacks
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
29
0
0
24 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
37
6
0
23 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
Improving Transferability of Adversarial Examples via Bayesian Attacks
Qizhang Li
Yiwen Guo
Xiaochen Yang
W. Zuo
Hao Chen
AAML
BDL
26
2
0
21 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
22
21
0
15 Jul 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen
Bo-wen Li
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
29
61
0
18 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by
  Model Quantization
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
Yulong Yang
Chenhao Lin
Qian Li
Zhengyu Zhao
Haoran Fan
Dawei Zhou
Nannan Wang
Tongliang Liu
Chao Shen
AAML
MQ
32
12
0
10 May 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods
Towards the Transferable Audio Adversarial Attack via Ensemble Methods
Feng Guo
Zhengyi Sun
Yuxuan Chen
Lei Ju
AAML
25
2
0
18 Apr 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
29
24
0
30 Mar 2023
TransAudio: Towards the Transferable Adversarial Audio Attack via
  Learning Contextualized Perturbations
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
Qin Gege
YueFeng Chen
Xiaofeng Mao
Yao Zhu
Binyuan Hui
Xiaodan Li
Rong Zhang
Hui Xue
AAML
18
7
0
28 Mar 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Jiadi Yao
H. Luo
Xiao-Lei Zhang
AAML
26
1
0
21 Feb 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
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
195
328
0
01 Oct 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
78
193
0
31 Jan 2021
Study of Pre-processing Defenses against Adversarial Attacks on
  State-of-the-art Speaker Recognition Systems
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems
Sonal Joshi
Jesús Villalba
Piotr Żelasko
Laureano Moro Velázquez
Najim Dehak
AAML
34
31
0
22 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
285
36,371
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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