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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
Attention Hijacking in Trojan Transformers
Attention Hijacking in Trojan Transformers
Weimin Lyu
Songzhu Zheng
Teng Ma
Haibin Ling
Chao Chen
83
8
0
09 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive
  Learning
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning
Tianxing Zhang
Hanzhou Wu
Xiaofeng Lu
Guangling Sun
AAML
59
5
0
08 Aug 2022
A New Kind of Adversarial Example
A New Kind of Adversarial Example
Ali Borji
AAML
122
1
0
04 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
99
14
0
04 Aug 2022
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation
  Classification
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification
Sicheng Zhang
Jiarun Yu
Zhida Bao
S. Mao
Yun Lin
AAML
52
9
0
03 Aug 2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy
  Problem
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem
Zheng Wang
Wenjie Ruan
ViT
82
8
0
01 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
90
2
0
31 Jul 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
Robust Real-World Image Super-Resolution against Adversarial Attacks
N. Babaguchi
John R. Smith
Pengxu Wei
T. Plagemann
Rong Yan
AAML
110
27
0
31 Jul 2022
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection
Caleb Tung
Abhinav Goel
Fischer Bordwell
Nick Eliopoulos
Xiao Hu
George K. Thiruvathukal
Yung-Hsiang Lu
25
4
0
28 Jul 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
Jiawang Bai
Kuofeng Gao
Dihong Gong
Shutao Xia
Zhifeng Li
Wen Liu
AAML
80
29
0
27 Jul 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets
  Graph Signal Processing
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing
Daizong Liu
Wei Hu
Xin Li
AAML3DPC
95
16
0
27 Jul 2022
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature
  Repair
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature Repair
Hui Xia
Xiugui Yang
X. Qian
Rui Zhang
AAML
49
1
0
26 Jul 2022
Versatile Weight Attack via Flipping Limited Bits
Versatile Weight Attack via Flipping Limited Bits
Jiawang Bai
Baoyuan Wu
Zhifeng Li
Shutao Xia
AAML
71
19
0
25 Jul 2022
Can we achieve robustness from data alone?
Can we achieve robustness from data alone?
Nikolaos Tsilivis
Jingtong Su
Julia Kempe
OODDD
108
18
0
24 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised
  Adversarial Robustness
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
Axi Niu
Jiu Feng
Chang D. Yoo
In So Kweon
SSL
96
25
0
22 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
100
32
0
18 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Xinwei Liu
Jian Liu
Yang Bai
Jindong Gu
Tao Chen
Xiaojun Jia
Xiaochun Cao
AAMLWIGM
73
28
0
17 Jul 2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using
  Stackelberg Game
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
Xiao-Shan Gao
Shuang Liu
Lijia Yu
AAML
78
0
0
17 Jul 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against
  Object Detection
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection
Svetlana Pavlitskaya
Bianca-Marina Codau
J. Marius Zöllner
AAML
73
12
0
15 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren
Yuhao Zhu
Yunlong Wang
Zhenan Sun
AAML
56
14
0
13 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of
  Convolutional Neural Networks by Mutual Information
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information
Jiebao Zhang
Wenhua Qian
Ren-qi Nie
Jinde Cao
Dan Xu
GANAAML
61
0
0
12 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
103
167
0
12 Jul 2022
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
Yaniv Nemcovsky
Matan Yaakoby
A. Bronstein
Chaim Baskin
AAML
82
8
0
11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
Taha Belkhouja
Yan Yan
J. Doppa
AAMLAI4TS
82
26
0
09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain
  via Statistical Features
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features
Taha Belkhouja
J. Doppa
AAMLAI4TS
66
12
0
09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and
  Theoretical Analysis
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Taha Belkhouja
Yan Yan
J. Doppa
OODAI4TS
77
9
0
09 Jul 2022
Defense Against Multi-target Trojan Attacks
Defense Against Multi-target Trojan Attacks
Haripriya Harikumar
Santu Rana
Kien Do
Sunil R. Gupta
W. Zong
Willy Susilo
Svetha Venkatesh
AAML
56
4
0
08 Jul 2022
Vector Quantisation for Robust Segmentation
Vector Quantisation for Robust Segmentation
Ainkaran Santhirasekaram
Avinash Kori
Mathias Winkler
A. Rockall
Ben Glocker
OOD
72
9
0
05 Jul 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
106
5
0
23 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
A Geometric Method for Improved Uncertainty Estimation in Real-time
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
56
0
0
23 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation
  in Latent Space
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
Tomoharu Iwata
Atsutoshi Kumagai
OODD
44
2
0
20 Jun 2022
A Universal Adversarial Policy for Text Classifiers
A Universal Adversarial Policy for Text Classifiers
Gallil Maimon
Lior Rokach
AAML
131
10
0
19 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
126
7
0
18 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLMAAML
82
20
0
16 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
114
27
0
15 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs
Pixel to Binary Embedding Towards Robustness for CNNs
Ikki Kishida
Hideki Nakayama
140
0
0
13 Jun 2022
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision
  Navigation
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
Chengyang Ying
You Qiaoben
Xinning Zhou
Hang Su
Wenbo Ding
Jianyong Ai
AAML
56
11
0
12 Jun 2022
An Efficient Method for Sample Adversarial Perturbations against
  Nonlinear Support Vector Machines
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines
Wen Su
Qingna Li
AAML
31
0
0
12 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble
Defending Adversarial Examples by Negative Correlation Ensemble
Wenjian Luo
Hongwei Zhang
Linghao Kong
Zhijian Chen
Jiaheng Zhang
AAML
27
1
0
11 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Samarah Hussain
Todd P. Huster
Chris Mesterharm
Paarth Neekhara
Kevin R. An
Malhar Jere
Harshvardhan Digvijay Sikka
F. Koushanfar
AAML
87
6
0
09 Jun 2022
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of
  Adversarial Robustness of Vision Models
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models
F. Nesti
Giulio Rossolini
G. D’Amico
Alessandro Biondi
Giorgio Buttazzo
AAML
82
9
0
09 Jun 2022
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural
  Networks
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
Huishuai Zhang
Da Yu
Yiping Lu
Di He
AAML
98
1
0
09 Jun 2022
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Qiyu Hu
Guangyi Zhang
Zhijin Qin
Yunlong Cai
Guanding Yu
Geoffrey Ye Li
AAML
96
150
0
08 Jun 2022
Adversarial Reprogramming Revisited
Adversarial Reprogramming Revisited
Matthias Englert
R. Lazic
AAML
98
11
0
07 Jun 2022
Fooling Explanations in Text Classifiers
Fooling Explanations in Text Classifiers
Adam Ivankay
Ivan Girardi
Chiara Marchiori
P. Frossard
AAML
85
20
0
07 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
118
17
0
02 Jun 2022
Searching for the Essence of Adversarial Perturbations
Searching for the Essence of Adversarial Perturbations
Dennis Y. Menn
Tzu-hsun Feng
Hung-yi Lee
AAML
26
1
0
30 May 2022
Superclass Adversarial Attack
Superclass Adversarial Attack
Soichiro Kumano
Hiroshi Kera
T. Yamasaki
AAML
72
1
0
29 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating
  Weather Conditions on the Camera Lens of Autonomous Systems
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Mohamed Bennai
AAML
70
8
0
27 May 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep
  Object Detectors
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
Avishag Shapira
Alon Zolfi
Christian Scano
Battista Biggio
A. Shabtai
AAML
107
35
0
26 May 2022
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