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Universal adversarial perturbations

Universal adversarial perturbations

26 October 2016
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
    AAML
ArXivPDFHTML

Papers citing "Universal adversarial perturbations"

50 / 1,266 papers shown
Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
55
0
0
08 May 2025
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion
Jiaxin Hong
Sixu Chen
Shuoyang Sun
Hongyao Yu
Hao Fang
Yuqi Tan
Bin Chen
Shuhan Qi
Jiawei Li
3DGS
AAML
203
0
0
29 Apr 2025
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
Julien Piet
Xiao Huang
Dennis Jacob
Annabella Chow
Maha Alrashed
Geng Zhao
Zhanhao Hu
Chawin Sitawarin
Basel Alomair
David Wagner
AAML
70
0
0
28 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
Support is All You Need for Certified VAE Training
Support is All You Need for Certified VAE Training
Changming Xu
Debangshu Banerjee
Deepak Vasisht
Gagandeep Singh
AAML
44
0
0
16 Apr 2025
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
Weixi Zhang
Ju Jia
Xiaojun Jia
Yihao Huang
Xuzhao Li
Cong Wu
Lina Wang
AAML
42
0
0
15 Apr 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
Lijun Sheng
Jian Liang
Zihan Wang
Ran He
AAML
VLM
41
0
0
15 Apr 2025
The Structural Safety Generalization Problem
The Structural Safety Generalization Problem
Julius Broomfield
Tom Gibbs
Ethan Kosak-Hine
George Ingebretsen
Tia Nasir
Jason Zhang
Reihaneh Iranmanesh
Sara Pieri
Reihaneh Rabbany
Kellin Pelrine
AAML
35
0
0
13 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
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan
Jinyu Tian
AAML
FedML
75
0
0
28 Mar 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
54
0
0
25 Mar 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yujie Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
53
1
0
17 Mar 2025
Are Deep Speech Denoising Models Robust to Adversarial Noise?
Will Schwarzer
Philip S. Thomas
Andrea Fanelli
Xiaoyu Liu
54
0
0
14 Mar 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
207
0
0
28 Feb 2025
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Yuan Bian
Min Liu
Yunqi Yi
Xueping Wang
Yaonan Wang
AAML
45
0
0
27 Feb 2025
Snowball Adversarial Attack on Traffic Sign Classification
Snowball Adversarial Attack on Traffic Sign Classification
Anthony Etim
Jakub Szefer
AAML
56
0
0
27 Feb 2025
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
Anthony Etim
Jakub Szefer
AAML
66
0
0
26 Feb 2025
Representation Engineering for Large-Language Models: Survey and Research Challenges
Representation Engineering for Large-Language Models: Survey and Research Challenges
Lukasz Bartoszcze
Sarthak Munshi
Bryan Sukidi
Jennifer Yen
Zejia Yang
David Williams-King
Linh Le
Kosi Asuzu
Carsten Maple
102
0
0
24 Feb 2025
Universal Adversarial Attack on Aligned Multimodal LLMs
Universal Adversarial Attack on Aligned Multimodal LLMs
Temurbek Rahmatullaev
Polina Druzhinina
Matvey Mikhalchuk
Andrey Kuznetsov
Anton Razzhigaev
AAML
105
0
0
11 Feb 2025
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities
Chashi Mahiul Islam
Samuel Jacob Chacko
Preston Horne
Xiuwen Liu
110
1
0
11 Feb 2025
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models
Samuel Stevens
Wei-Lun Chao
T. Berger-Wolf
Yu-Chuan Su
VLM
74
2
0
10 Feb 2025
Democratic Training Against Universal Adversarial Perturbations
Bing-Jie Sun
Jun Sun
Wei Zhao
AAML
68
0
0
08 Feb 2025
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies
Basavasagar Patil
Akansha Kalra
Guanhong Tao
Daniel S. Brown
AAML
76
0
0
06 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
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Umesh Yadav
Suman Niraula
Gaurav Kumar Gupta
Bicky Yadav
SILM
42
0
0
04 Jan 2025
Stealthy Backdoor Attack to Real-world Models in Android Apps
Jiali Wei
Ming Fan
Xicheng Zhang
Wenjing Jiao
Haoran Wang
Ting Liu
AAML
31
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
45
0
0
31 Dec 2024
Sample Correlation for Fingerprinting Deep Face Recognition
Sample Correlation for Fingerprinting Deep Face Recognition
Jiyang Guan
Jian Liang
Yanbo Wang
Ran He
AAML
36
0
0
31 Dec 2024
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
Yufei Song
Ziqi Zhou
Minghui Li
Xiaobei Wang
Hangtao Zhang
Menghao Deng
Wei Wan
Shengshan Hu
L. Zhang
AAML
114
4
0
21 Dec 2024
Physics-Based Adversarial Attack on Near-Infrared Human Detector for
  Nighttime Surveillance Camera Systems
Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems
Muyao Niu
ZeLin Li
Yifan Zhan
H. Nguyen
Isao Echizen
Yinqiang Zheng
AAML
108
3
0
18 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
90
1
0
18 Dec 2024
Targeted View-Invariant Adversarial Perturbations for 3D Object
  Recognition
Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition
Christian Green
Mehmet Ergezer
Abdurrahman Zeybey
AAML
82
0
0
17 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
Yuning Han
Bingyin Zhao
Rui Chu
Feng Luo
Biplab Sikdar
Yingjie Lao
DiffM
AAML
98
1
0
16 Dec 2024
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Namhyuk Ahn
Kiyoon Yoo
Wonhyuk Ahn
Daesik Kim
Seung-Hun Nam
AAML
WIGM
DiffM
94
0
0
16 Dec 2024
Data Free Backdoor Attacks
Data Free Backdoor Attacks
Bochuan Cao
Jinyuan Jia
Chuxuan Hu
Wenbo Guo
Zhen Xiang
Jinghui Chen
Bo-wen Li
Dawn Song
AAML
86
0
0
09 Dec 2024
Image Privacy Protection: A Survey
Image Privacy Protection: A Survey
Wenying Wen
Ziye Yuan
Yushu Zhang
Tao Wang
Xiangli Xiao
Ruoyu Zhao
Yuming Fang
PILM
96
0
0
05 Dec 2024
Hijacking Vision-and-Language Navigation Agents with Adversarial
  Environmental Attacks
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks
Zijiao Yang
Xiangxi Shi
Eric Slyman
Stefan Lee
AAML
84
1
0
03 Dec 2024
Fall Leaf Adversarial Attack on Traffic Sign Classification
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim
Jakub Szefer
AAML
79
3
0
27 Nov 2024
On the Fairness, Diversity and Reliability of Text-to-Image Generative
  Models
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
J. Vice
Naveed Akhtar
Richard I. Hartley
Ajmal Mian
EGVM
71
0
0
21 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using
  Predictive Coding
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding
Ehsan Ganjidoost
Jeff Orchard
AAML
32
0
0
31 Oct 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD
  Generalization
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser
Han Shao
Emmanuel Abbe
OOD
44
1
0
30 Oct 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
66
6
0
26 Oct 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
George I. Kamberov
AAML
31
0
0
17 Oct 2024
Efficient and Effective Universal Adversarial Attack against
  Vision-Language Pre-training Models
Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
Fan Yang
Yihao Huang
Kaidi Wang
Ling Shi
G. Pu
Yang Liu
Haoran Wang
AAML
VLM
36
2
0
15 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
159
0
0
13 Oct 2024
Demonstration Attack against In-Context Learning for Code Intelligence
Demonstration Attack against In-Context Learning for Code Intelligence
Yifei Ge
Weisong Sun
Yihang Lou
Chunrong Fang
Yiran Zhang
Yiming Li
Xiaofang Zhang
Yang Liu
Zhihong Zhao
Zhenyu Chen
AAML
28
1
0
03 Oct 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Yi Zhang
Zhen Chen
Chih-Hong Cheng
Wenjie Ruan
Xiaowei Huang
Dezong Zhao
David Flynn
Siddartha Khastgir
Xingyu Zhao
MedIm
50
4
0
26 Sep 2024
Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform
  Optimization
Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization
Yunpeng Gong
Qingyuan Zeng
Dejun Xu
Zhenzhong Wang
Min Jiang
AAML
39
6
0
26 Sep 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
DarkSAM: Fooling Segment Anything Model to Segment Nothing
Ziqi Zhou
Yufei Song
Minghui Li
Shengshan Hu
Xianlong Wang
Leo Yu Zhang
Dezhong Yao
Hai Jin
39
11
0
26 Sep 2024
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End
  Improves CNN Robustness
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper
Arlindo L. Oliveira
Tiago Marques
25
1
0
25 Sep 2024
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