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Universal adversarial perturbations
v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
    AAML
ArXiv (abs)PDFHTML

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown
Title
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Zander W. Blasingame
Chen Liu
102
6
0
09 Apr 2024
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner
  Attacks, And The Role of Distillation as Defense Mechanism
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism
Trilokesh Ranjan Sarkar
Nilanjan Das
Pralay Sankar Maitra
Bijoy Some
Ritwik Saha
Orijita Adhikary
Bishal Bose
Jaydip Sen
AAML
32
0
0
05 Apr 2024
Towards Robust 3D Pose Transfer with Adversarial Learning
Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen
Hao Tang
Ehsan Adeli
Guoying Zhao
3DHAAML
73
3
0
02 Apr 2024
Red-Teaming Segment Anything Model
Red-Teaming Segment Anything Model
K. Jankowski
Bartlomiej Sobieski
Mateusz Kwiatkowski
J. Szulc
Michael F. Janik
Hubert Baniecki
P. Biecek
VLMAAML
75
3
0
02 Apr 2024
Deep Support Vectors
Deep Support Vectors
Junhoo Lee
Hyunho Lee
Kyomin Hwang
Nojun Kwak
76
0
0
26 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based
  Layer-wise Feature Fusion
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
96
1
0
16 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILMAAML
114
11
0
16 Mar 2024
Towards Non-Adversarial Algorithmic Recourse
Towards Non-Adversarial Algorithmic Recourse
Tobias Leemann
Martin Pawelczyk
Bardh Prenkaj
Gjergji Kasneci
AAML
81
2
0
15 Mar 2024
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts
  on Vision-Language Models
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Haochen Luo
Jindong Gu
Fengyuan Liu
Philip Torr
VLMVPVLMAAML
84
24
0
14 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
Ben Pinhasov
Raz Lapid
Rony Ohayon
Moshe Sipper
Y. Aperstein
AAML
82
7
0
05 Mar 2024
Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
Roie Kazoom
Raz Birman
Ofer Hadar
AAML
59
3
0
04 Mar 2024
Adversarial Math Word Problem Generation
Adversarial Math Word Problem Generation
Roy Xie
Chengxuan Huang
Junlin Wang
Bhuwan Dhingra
AAML
90
2
0
27 Feb 2024
Adversarial Perturbations of Physical Signals
Adversarial Perturbations of Physical Signals
Robert L. Bassett
Austin Van Dellen
Anthony P. Austin
AAML
41
0
0
27 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
63
1
0
23 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion
  Models against Stochastic Perturbation
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
Yi Zhang
Yun Tang
Wenjie Ruan
Xiaowei Huang
Siddartha Khastgir
P. Jennings
Xingyu Zhao
AAML
70
4
0
23 Feb 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based
  Optimization
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
Jiyao Li
Mingze Ni
Yifei Dong
Tianqing Zhu
Wei Liu
AAML
43
3
0
19 Feb 2024
A Trembling House of Cards? Mapping Adversarial Attacks against Language
  Agents
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
Lingbo Mo
Zeyi Liao
Boyuan Zheng
Yu-Chuan Su
Chaowei Xiao
Huan Sun
AAMLLLMAG
108
15
0
15 Feb 2024
End-to-End Training Induces Information Bottleneck through Layer-Role
  Differentiation: A Comparative Analysis with Layer-wise Training
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
Keitaro Sakamoto
Issei Sato
56
4
0
14 Feb 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
155
49
0
14 Feb 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
Generating Universal Adversarial Perturbations for Quantum Classifiers
Gautham Anil
Vishnu Vinod
Apurva Narayan
AAML
80
5
0
13 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 Lin
AAML
163
26
0
13 Feb 2024
Investigating White-Box Attacks for On-Device Models
Investigating White-Box Attacks for On-Device Models
M. Zhou
Xiang Gao
Jing Wu
Kui Liu
Hailong Sun
Li Li
AAML
97
9
0
08 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
Antoine Godichon-Baggioni
Adeline Fermanian
Sylvain Le Corff
109
2
0
05 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
  in Vision Transformers
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
Oryan Yehezkel
Alon Zolfi
Amit Baras
Yuval Elovici
A. Shabtai
AAML
77
2
0
04 Feb 2024
Seeing is not always believing: The Space of Harmless Perturbations
Seeing is not always believing: The Space of Harmless Perturbations
Lu Chen
Shaofeng Li
Benhao Huang
Fan Yang
Zheng Li
Jie Li
Yuan Luo
AAML
56
0
0
03 Feb 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the
  Fragility of NLI Models
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan
Zhaoqi Liu
Isabelle Augenstein
AAML
145
12
0
25 Jan 2024
Sparse and Transferable Universal Singular Vectors Attack
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova
Olga Tsymboi
Ivan Oseledets
AAML
66
0
0
25 Jan 2024
Explainable and Transferable Adversarial Attack for ML-Based Network
  Intrusion Detectors
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang
Dongqi Han
Yinlong Liu
Zhiliang Wang
Jiyan Sun
Shangyuan Zhuang
Jiqiang Liu
Jinsong Dong
AAML
61
6
0
19 Jan 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification
Cross-Modality Perturbation Synergy Attack for Person Re-identification
Yunpeng Gong
Zhun Zhong
Zhiming Luo
Yansong Qu
Rongrong Ji
Min Jiang
AAML
139
26
0
18 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data
Hijacking Attacks against Neural Networks by Analyzing Training Data
Yunjie Ge
Qian Wang
Huayang Huang
Qi Li
Cong Wang
Chao Shen
Lingchen Zhao
Peipei Jiang
Zheng Fang
Shenyi Zhang
80
0
0
18 Jan 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive
  Adversarial Color Attack
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
Zhongliang Guo
Junhao Dong
Yifei Qian
Kaixuan Wang
Weiye Li
Ziheng Guo
Yuheng Wang
Yanli Li
Ognjen Arandjelović
Lei Fang
AAML
96
11
0
18 Jan 2024
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative
  Adversarial Networks
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino
Luca Guarnera
A. Ortis
Sebastiano Battiato
MedIm
84
4
0
17 Jan 2024
Do stable neural networks exist for classification problems? -- A new
  view on stability in AI
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu
A. C. Hansen
68
0
0
15 Jan 2024
Null Space Properties of Neural Networks with Applications to Image
  Steganography
Null Space Properties of Neural Networks with Applications to Image Steganography
Xiang Li
Kevin M. Short
AAML
52
0
0
01 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches
  Generation
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation
Wenyi Tan
Yang Li
Chenxing Zhao
Zhunga Liu
Quanbiao Pan
AAML
90
3
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
58
2
0
22 Dec 2023
When can you trust feature selection? -- I: A condition-based analysis
  of LASSO and generalised hardness of approximation
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation
Alexander Bastounis
Felipe Cucker
Anders C. Hansen
42
2
0
18 Dec 2023
UltraClean: A Simple Framework to Train Robust Neural Networks against
  Backdoor Attacks
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
Bingyin Zhao
Yingjie Lao
AAML
65
1
0
17 Dec 2023
A Malware Classification Survey on Adversarial Attacks and Defences
A Malware Classification Survey on Adversarial Attacks and Defences
Mahesh Ponnuru
Likhitha Amasala
Tanu Sree Bhimavarapu
Guna Chaitanya Garikipati
AAML
29
4
0
15 Dec 2023
Adversarial Robustness on Image Classification with $k$-means
Adversarial Robustness on Image Classification with kkk-means
Rollin Omari
Junae Kim
Paul Montague
OODVLM
35
0
0
15 Dec 2023
Universal Adversarial Framework to Improve Adversarial Robustness for
  Diabetic Retinopathy Detection
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection
Samrat Mukherjee
Dibyanayan Bandyopadhyay
Baban Gain
Asif Ekbal
AAMLMedImFedML
33
0
0
13 Dec 2023
Dynamic Adversarial Attacks on Autonomous Driving Systems
Dynamic Adversarial Attacks on Autonomous Driving Systems
Amirhosein Chahe
Chenan Wang
Abhishek S. Jeyapratap
Kaidi Xu
Lifeng Zhou
AAML
64
6
0
10 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
110
0
0
08 Dec 2023
Defense against ML-based Power Side-channel Attacks on DNN Accelerators
  with Adversarial Attacks
Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks
Xiaobei Yan
Chip Hong Chang
Tianwei Zhang
AAML
67
1
0
07 Dec 2023
Model Copyright Protection in Buyer-seller Environment
Model Copyright Protection in Buyer-seller Environment
Yusheng Guo
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
26
0
0
05 Dec 2023
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Yiming Li
Mingyan Zhu
Junfeng Guo
Tao Wei
Shu-Tao Xia
Zhan Qin
AAML
145
1
0
03 Dec 2023
Trainwreck: A damaging adversarial attack on image classifiers
Trainwreck: A damaging adversarial attack on image classifiers
Jan Zahálka
96
1
0
24 Nov 2023
Security and Privacy Challenges in Deep Learning Models
Security and Privacy Challenges in Deep Learning Models
Gopichandh Golla
AAMLSILMMIACV
45
1
0
23 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and
  Generation
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation
Zisheng Xu
Qiao Yan
Fei Yu
Victor C.M. Leung
AAML
82
1
0
22 Nov 2023
Investigating Weight-Perturbed Deep Neural Networks With Application in
  Iris Presentation Attack Detection
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma
Redwan Sony
Arun Ross
AAML
78
3
0
21 Nov 2023
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