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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
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
35
3
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
28
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
34
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
48
0
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
37
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
41
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
39
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
AAML
VLM
28
3
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
23
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
VLM
AAML
31
2
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
35
6
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
45
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
40
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
40
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
56
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
68
4
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
48
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
ELM
AAML
37
25
0
10 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
27
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
43
2
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
34
0
0
21 Jun 2024
Explainable AI Security: Exploring Robustness of Graph Neural Networks
  to Adversarial Attacks
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks
Tao Wu
Canyixing Cui
Xingping Xian
Shaojie Qiao
Chao Wang
Lin Yuan
Shui Yu
AAML
44
0
0
20 Jun 2024
Analyzing Multi-Head Attention on Trojan BERT Models
Analyzing Multi-Head Attention on Trojan BERT Models
Jingwei Wang
45
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
37
7
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
AAML
VLM
40
13
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
51
10
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
37
5
0
05 Jun 2024
Constraint-based Adversarial Example Synthesis
Constraint-based Adversarial Example Synthesis
Fang Yu
Ya-Yu Chi
Yu-Fang Chen
AAML
40
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
51
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
36
6
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
30
15
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
51
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
60
10
0
27 May 2024
Semantic-guided Prompt Organization for Universal Goal Hijacking against
  LLMs
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs
Yihao Huang
Chong Wang
Xiaojun Jia
Qing Guo
Felix Juefei Xu
Jian Zhang
G. Pu
Yang Liu
36
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
29
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
26
0
0
15 May 2024
Cross-Input Certified Training for Universal Perturbations
Cross-Input Certified Training for Universal Perturbations
Changming Xu
Gagandeep Singh
AAML
33
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
49
5
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
FAtt
AAML
37
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
44
11
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
42
12
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
42
3
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
3DPC
AAML
31
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
41
7
0
10 Apr 2024
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Zander W. Blasingame
Chen Liu
38
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
24
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
3DH
AAML
38
2
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
VLM
AAML
48
3
0
02 Apr 2024
Deep Support Vectors
Deep Support Vectors
Junhoo Lee
Hyunho Lee
Kyomin Hwang
Nojun Kwak
46
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
46
1
0
16 Mar 2024
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