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Frequency Domain Model Augmentation for Adversarial Attack

Frequency Domain Model Augmentation for Adversarial Attack

12 July 2022
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
    AAML
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Papers citing "Frequency Domain Model Augmentation for Adversarial Attack"

50 / 91 papers shown
Title
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency
Bo Yang
Hengwei Zhang
Jindong Wang
Yuchen Ren
Chenhao Lin
Chao Shen
Zhengyu Zhao
AAML
9
0
0
19 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
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
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
Jingdan Kang
Haoxin Yang
Yan Cai
Huaidong Zhang
Xuemiao Xu
Yong Du
Shengfeng He
AAML
49
0
0
25 Mar 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Wenwei Gu
Renyi Zhong
Jianping Zhang
Michael R. Lyu
AAML
38
0
0
25 Mar 2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Shuo Li
Jiajun Sun
Guodong Zheng
Xiaoran Fan
Yujiong Shen
...
Wenming Tan
Tao Ji
Tao Gui
Qi Zhang
Xuanjing Huang
AAML
VLM
90
1
0
19 Mar 2025
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
Zhaoyi Li
Xiaohan Zhao
Dong-Dong Wu
Jiacheng Cui
Zhiqiang Shen
AAML
VLM
75
1
0
13 Mar 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Yihao Huang
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
55
1
0
06 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose
Qing Wan
Shilong Deng
Xun Wang
AAML
36
0
0
02 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
39
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
52
0
0
16 Feb 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
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
41
0
0
27 Dec 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
71
0
0
23 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams
Decentralizing Test-time Adaptation under Heterogeneous Data Streams
Zixian Su
Jingwei Guo
Xi Yang
Qiufeng Wang
K. Huang
TTA
89
0
0
16 Nov 2024
PEAS: A Strategy for Crafting Transferable Adversarial Examples
PEAS: A Strategy for Crafting Transferable Adversarial Examples
Bar Avraham
Yisroel Mirsky
AAML
34
0
0
20 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
Xuzhao Li
136
0
0
13 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
31
2
0
11 Oct 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A
  Comprehensive Framework for Gradient Editing
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
39
0
0
22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for
  Adversarial Attacks
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Yiyun Huang
Huaming Chen
AAML
40
1
0
22 Aug 2024
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing
  Diagnostic Accuracy in Alzheimer's Case Studies
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
Mohammad Hossein Najafi
Mohammad Morsali
Mohammadmahdi Vahediahmar
Saeed Bagheri Shouraki
AAML
MedIm
45
0
0
16 Aug 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
46
1
0
14 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable
  Adversarial Attacks
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
57
4
0
30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Yunfeng Diao
Na Zhai
Changtao Miao
Xun Yang
Meng Wang
Xun Yang
Meng Wang
AAML
39
1
0
30 Jul 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
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
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
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
67
0
0
04 Jul 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
36
6
0
08 Jun 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
37
2
0
08 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 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
40
1
0
04 Jun 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
40
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
15
0
23 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit
  Calibration and Truncated Feature Mixing
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
36
0
0
10 May 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
39
1
0
06 May 2024
Practical Region-level Attack against Segment Anything Models
Practical Region-level Attack against Segment Anything Models
Yifan Shen
Zhengyuan Li
Gang Wang
VLM
48
9
0
12 Apr 2024
Unsegment Anything by Simulating Deformation
Unsegment Anything by Simulating Deformation
Jiahao Lu
Xingyi Yang
Xinchao Wang
36
4
0
03 Apr 2024
FFT-based Selection and Optimization of Statistics for Robust
  Recognition of Severely Corrupted Images
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images
Elena Camuffo
Umberto Michieli
J. Moon
Daehyun Kim
Mete Ozay
44
2
0
21 Mar 2024
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image-
  and Video-Quality Metrics
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
45
2
0
09 Mar 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency
  Augmentation in Image Classification
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
Puru Vaish
Shunxin Wang
N. Strisciuglio
32
9
0
04 Mar 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
71
2
0
27 Feb 2024
Investigating Deep Watermark Security: An Adversarial Transferability
  Perspective
Investigating Deep Watermark Security: An Adversarial Transferability Perspective
Biqing Qi
Junqi Gao
Yiang Luo
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
31
3
0
26 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary
  Knowledge
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge
L. Fenaux
Florian Kerschbaum
AAML
42
0
0
22 Feb 2024
Test-Time Backdoor Attacks on Multimodal Large Language Models
Test-Time Backdoor Attacks on Multimodal Large Language Models
Dong Lu
Tianyu Pang
Chao Du
Qian Liu
Xianjun Yang
Min-Bin Lin
AAML
56
21
0
13 Feb 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM
  Agents Exponentially Fast
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Xiangming Gu
Xiaosen Zheng
Tianyu Pang
Chao Du
Qian Liu
Ye Wang
Jing Jiang
Min-Bin Lin
LLMAG
LM&Ro
37
49
0
13 Feb 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
47
13
0
06 Feb 2024
Benchmarking Transferable Adversarial Attacks
Benchmarking Transferable Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Huaming Chen
AAML
34
4
0
01 Feb 2024
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