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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
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
381
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
59
2
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
97
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
54
8
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
91
12
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
61
1
0
25 Sep 2024
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
79
4
0
20 Sep 2024
One-Index Vector Quantization Based Adversarial Attack on Image
  Classification
One-Index Vector Quantization Based Adversarial Attack on Image Classification
Haiju Fan
Xiaona Qin
Shuang Chen
Hubert P. H. Shum
Ming Li
51
0
0
02 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based
  Gaussian Descriptor for Imbalanced Tabular Data
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data
Priyanka Chudasama
Anil Surisetty
Aakarsh Malhotra
Alok Singh
56
0
0
02 Sep 2024
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting
  for Smart and Connected Infrastructures
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan
Rohan Mohapatra
Saptarshi Sengupta
AAML
77
1
0
27 Aug 2024
Towards Aligned Data Removal via Twin Machine Unlearning
Towards Aligned Data Removal via Twin Machine Unlearning
Zheng Lin
Zheng Lin
Yuyao Sun
Rong Jin
Yuhang Wang
Haichang Gao
Zhenxing Niu
MU
68
0
0
21 Aug 2024
Statistical Challenges with Dataset Construction: Why You Will Never
  Have Enough Images
Statistical Challenges with Dataset Construction: Why You Will Never Have Enough Images
Josh Goldman
John K. Tsotsos
47
1
0
20 Aug 2024
Towards Efficient Formal Verification of Spiking Neural Network
Towards Efficient Formal Verification of Spiking Neural Network
Baekryun Seong
Jieung Kim
Sang-Ki Ko
72
0
0
20 Aug 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous
  Driving
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan
Pengyu Wang
Danni Wang
Weiquan Huang
Daniel Watzenig
Huilin Yin
AAMLVLM
81
4
0
19 Aug 2024
Malacopula: adversarial automatic speaker verification attacks using a
  neural-based generalised Hammerstein model
Malacopula: adversarial automatic speaker verification attacks using a neural-based generalised Hammerstein model
Massimiliano Todisco
Michele Panariello
Xin Wang
Héctor Delgado
K. Lee
Nicholas W. D. Evans
AAML
45
8
0
17 Aug 2024
Sample-agnostic Adversarial Perturbation for Vision-Language
  Pre-training Models
Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
Haonan Zheng
Wen Jiang
Xinyang Deng
Wenrui Li
VLMAAML
58
4
0
06 Aug 2024
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms
  using Linguistic Features
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features
Peng Cheng
Yuwei Wang
Peng Huang
Zhongjie Ba
Xiaodong Lin
Feng Lin
Liwang Lu
Kui Ren
AAML
74
9
0
03 Aug 2024
Joint Universal Adversarial Perturbations with Interpretations
Joint Universal Adversarial Perturbations with Interpretations
Liang-bo Ning
Zeyu Dai
Wenqi Fan
Jingran Su
Chao Pan
Luning Wang
Qing Li
AAML
70
2
0
03 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
102
0
0
03 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
106
1
0
31 Jul 2024
Exploring Loss Landscapes through the Lens of Spin Glass Theory
Exploring Loss Landscapes through the Lens of Spin Glass Theory
Hao Liao
Wei Zhang
Zhanyi Huang
Zexiao Long
Mingyang Zhou
Xiaoqun Wu
Rui Mao
Chi Ho Yeung
86
2
0
30 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
141
6
0
14 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
73
0
0
11 Jul 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
ELMAAML
108
32
0
10 Jul 2024
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
Xiaokun Luan
Xiyue Zhang
Jingyi Wang
Meng Sun
AAML
87
0
0
04 Jul 2024
EvolBA: Evolutionary Boundary Attack under Hard-label Black Box
  condition
EvolBA: Evolutionary Boundary Attack under Hard-label Black Box condition
Ayane Tajima
Satoshi Ono
AAML
39
0
0
02 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial
  Attacks
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
117
4
0
26 Jun 2024
Contextual Interaction via Primitive-based Adversarial Training For
  Compositional Zero-shot Learning
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
Suyi Li
Chenyi Jiang
Shidong Wang
Yang Long
Zheng Zhang
Haofeng Zhang
CoGe
92
0
0
21 Jun 2024
Analyzing Multi-Head Attention on Trojan BERT Models
Analyzing Multi-Head Attention on Trojan BERT Models
Jingwei Wang
81
0
0
12 Jun 2024
Texture Re-scalable Universal Adversarial Perturbation
Texture Re-scalable Universal Adversarial Perturbation
Yihao Huang
Qing Guo
Felix Juefei-Xu
Ming Hu
Xiaojun Jia
Xiaochun Cao
Geguang Pu
Yang Liu
AAML
82
8
0
10 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
AAMLVLM
133
14
0
08 Jun 2024
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
Fan Liu
Zhao Xu
Hao Liu
AAML
130
13
0
07 Jun 2024
Learning Visual Prompts for Guiding the Attention of Vision Transformers
Learning Visual Prompts for Guiding the Attention of Vision Transformers
Razieh Rezaei
Masoud Jalili Sabet
Jindong Gu
Daniel Rueckert
Philip Torr
Ashkan Khakzar
60
5
0
05 Jun 2024
Constraint-based Adversarial Example Synthesis
Constraint-based Adversarial Example Synthesis
Fang Yu
Ya-Yu Chi
Yu-Fang Chen
AAML
93
0
0
03 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional
  Neural Networks via Tightening Linear Approximation
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
Yuan Xiao
Shiqing Ma
Juan Zhai
Chunrong Fang
Jinyuan Jia
Zhenyu Chen
AAML
82
1
0
02 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
89
7
0
02 Jun 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual
  Learning
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami
Albin Soutif--Cormerais
Yuyang Liu
Sandesh Kamath
Bartlomiej Twardowski
Joost van de Weijer
AAML
79
19
0
29 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
108
2
0
27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
94
12
0
27 May 2024
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization
Yihao Huang
Chong Wang
Xiaojun Jia
Qing Guo
Felix Juefei Xu
Jian Zhang
G. Pu
Yang Liu
109
9
0
23 May 2024
Relational DNN Verification With Cross Executional Bound Refinement
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee
Gagandeep Singh
AAML
76
5
0
16 May 2024
Properties that allow or prohibit transferability of adversarial attacks
  among quantized networks
Properties that allow or prohibit transferability of adversarial attacks among quantized networks
Abhishek Shrestha
Jürgen Grossmann
AAML
40
0
0
15 May 2024
Cross-Input Certified Training for Universal Perturbations
Cross-Input Certified Training for Universal Perturbations
Changming Xu
Gagandeep Singh
AAML
64
2
0
15 May 2024
Multi-Object Tracking in the Dark
Multi-Object Tracking in the Dark
Xinzhe Wang
Kang Ma
Qiankun Liu
Yunhao Zou
Ying Fu
VOT
101
9
0
10 May 2024
Exploring the Interplay of Interpretability and Robustness in Deep
  Neural Networks: A Saliency-guided Approach
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
Amira Guesmi
Nishant Suresh Aswani
Mohamed Bennai
FAttAAML
61
1
0
10 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained
  Models
Universal Adversarial Perturbations for Vision-Language Pre-trained Models
Pengfei Zhang
Zi Huang
Guangdong Bai
AAML
87
13
0
09 May 2024
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and
  AI-Generated Images
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images
Y. Qu
Xinyue Shen
Yixin Wu
Michael Backes
Savvas Zannettou
Yang Zhang
EGVM
97
20
0
06 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
112
4
0
02 May 2024
Attack on Scene Flow using Point Clouds
Attack on Scene Flow using Point Clouds
Haniyeh Ehsani Oskouie
M. Moin
S. Kasaei
3DPCAAML
80
0
0
21 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on
  Non-IID Data
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
Yu Qiao
Chaoning Zhang
Apurba Adhikary
Choong Seon Hong
FedML
75
7
0
10 Apr 2024
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