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Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

31 March 2022
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
    AAML
ArXivPDFHTML

Papers citing "Improving Adversarial Transferability via Neuron Attribution-Based Attacks"

50 / 78 papers shown
Title
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
Jian-Wei Li
Wen-Ze Shao
AAML
24
0
0
06 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
32
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
122
0
0
20 Apr 2025
Boosting the Local Invariance for Better Adversarial Transferability
Bohan Liu
Xiaosen Wang
AAML
60
0
0
08 Mar 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Qing Guo
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
50
1
0
06 Mar 2025
AMUN: Adversarial Machine UNlearning
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MU
AAML
43
0
0
02 Mar 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
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Silin Liao
Zhibo Jin
Flora Salim
Huaming Chen
GAN
49
0
0
16 Feb 2025
Democratic Training Against Universal Adversarial Perturbations
Bing-Jie Sun
Jun Sun
Wei Zhao
AAML
57
0
0
08 Feb 2025
Attribution for Enhanced Explanation with Transferable Adversarial
  eXploration
Attribution for Enhanced Explanation with Transferable Adversarial eXploration
Zhiyu Zhu
Jiayu Zhang
Zhibo Jin
Huaming Chen
Jianlong Zhou
Fang Chen
AAML
ViT
33
0
0
27 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
137
0
0
23 Nov 2024
Transferable Adversarial Attacks against ASR
Transferable Adversarial Attacks against ASR
Xiaoxue Gao
Zexin Li
Yiming Chen
Cong Liu
H. Li
AAML
31
1
0
14 Nov 2024
Adversarial Detection with a Dynamically Stable System
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
34
0
0
11 Nov 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
On the Adversarial Transferability of Generalized "Skip Connections"
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
Xingjun Ma
Zhouchen Lin
AAML
21
2
0
11 Oct 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
27
1
0
14 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models
  with Pre-trained Vision Transformers
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
Weijie Zheng
Xingjun Ma
Hanxun Huang
Zuxuan Wu
Yu-Gang Jiang
AAML
32
0
0
03 Aug 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
35
0
0
09 Jul 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing
  Adversarial Robustness
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Zhiming Luo
AAML
38
1
0
17 Jun 2024
Reinforced Compressive Neural Architecture Search for Versatile
  Adversarial Robustness
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
Dingrong Wang
Hitesh Sapkota
Zhiqiang Tao
Qi Yu
AAML
29
1
0
10 Jun 2024
DMS: Addressing Information Loss with More Steps for Pragmatic
  Adversarial Attacks
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu
Jiayu Zhang
Xinyi Wang
Zhibo Jin
Huaming Chen
AAML
28
1
0
09 Jun 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
AAML
SILM
26
5
0
28 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
Xiangtai Li
Xuequan Lu
Lizhuang Ma
Hefei Ling
AAML
39
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
19
2
0
25 May 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILM
AAML
59
1
0
27 Feb 2024
Benchmarking Transferable Adversarial Attacks
Benchmarking Transferable Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Huaming Chen
AAML
24
4
0
01 Feb 2024
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
Fengfan Zhou
Qianyu Zhou
Bangjie Yin
Hui Zheng
Xuequan Lu
Lizhuang Ma
Heifei Ling
AAML
36
3
0
17 Jan 2024
Bag of Tricks to Boost Adversarial Transferability
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang
Rongyi Zhu
Wei Yao
Xiaosen Wang
Chenliang Xu
AAML
47
9
0
16 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by
  gradient editing-based adversarial generative model
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
Zhiyu Zhu
Huaming Chen
Xinyi Wang
Jiayu Zhang
Zhibo Jin
Kim-Kwang Raymond Choo
Jun Shen
Dong Yuan
13
8
0
11 Jan 2024
Enhancing targeted transferability via feature space fine-tuning
Enhancing targeted transferability via feature space fine-tuning
Hui Zeng
Biwei Chen
Anjie Peng
AAML
15
3
0
05 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
32
7
0
28 Dec 2023
AdvCloak: Customized Adversarial Cloak for Privacy Protection
AdvCloak: Customized Adversarial Cloak for Privacy Protection
Xuannan Liu
Yaoyao Zhong
Xingchen Cui
Yuhang Zhang
Peipei Li
Weihong Deng
PICV
26
2
0
22 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
24
23
0
08 Dec 2023
Rethinking Mixup for Improving the Adversarial Transferability
Rethinking Mixup for Improving the Adversarial Transferability
Xiaosen Wang
Zeyuan Yin
AAML
23
2
0
28 Nov 2023
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
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Tao Wang
Zijian Ying
Qianmu Li
Zhichao Lian
AAML
17
4
0
18 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
28
2
0
02 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
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip H. S. Torr
AAML
27
26
0
26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David E. Evans
AAML
24
6
0
26 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron
  attribution
DANAA: Towards transferable attacks with double adversarial neuron attribution
Zhibo Jin
Zhiyu Zhu
Xinyi Wang
Jiayu Zhang
Jun Shen
Huaming Chen
AAML
11
9
0
16 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
25
15
0
01 Oct 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing
  Framework for Content Moderation Software
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
Wenxuan Wang
Jingyuan Huang
Jen-tse Huang
Chang Chen
Jiazhen Gu
Pinjia He
Michael R. Lyu
VLM
28
6
0
18 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
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial
  Transferability
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
B. Chen
Jia-Li Yin
Shukai Chen
Bo-Hao Chen
Ximeng Liu
AAML
14
39
0
05 Aug 2023
Universal Defensive Underpainting Patch: Making Your Text Invisible to
  Optical Character Recognition
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
Jiacheng Deng
Li Dong
Jiahao Chen
Diqun Yan
Rangding Wang
Dengpan Ye
Lingchen Zhao
Jinyu Tian
18
1
0
04 Aug 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
24
2
0
21 Jul 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
Dong Huang
Qi Bu
Yichao Fu
Yuhao Qing
Junjie Chen
Heming Cui
AAML
18
2
0
20 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks
Boosting Adversarial Transferability with Learnable Patch-wise Masks
Xingxing Wei
Shiji Zhao
AAML
11
10
0
28 Jun 2023
12
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