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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 / 1,267 papers shown
Title
Universal adversarial examples in speech command classification
Universal adversarial examples in speech command classification
Jon Vadillo
Roberto Santana
AAML
34
29
0
22 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models
Heuristic Black-box Adversarial Attacks on Video Recognition Models
Zhipeng Wei
Jingjing Chen
Xingxing Wei
Linxi Jiang
Tat-Seng Chua
Fengfeng Zhou
Yueping Jiang
AAML
16
67
0
21 Nov 2019
Deep Minimax Probability Machine
Deep Minimax Probability Machine
Lirong He
Ziyi Guo
Kaizhu Huang
Zenglin Xu
AAML
27
2
0
20 Nov 2019
Robust Deep Neural Networks Inspired by Fuzzy Logic
Robust Deep Neural Networks Inspired by Fuzzy Logic
Minh Le
OOD
AAML
AI4CE
33
0
0
20 Nov 2019
WITCHcraft: Efficient PGD attacks with random step size
WITCHcraft: Efficient PGD attacks with random step size
Ping Yeh-Chiang
Jonas Geiping
Micah Goldblum
Tom Goldstein
Renkun Ni
Steven Reich
Ali Shafahi
AAML
23
11
0
18 Nov 2019
Revealing Perceptible Backdoors, without the Training Set, via the
  Maximum Achievable Misclassification Fraction Statistic
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Zhen Xiang
David J. Miller
Hang Wang
G. Kesidis
AAML
34
9
0
18 Nov 2019
Coverage Testing of Deep Learning Models using Dataset Characterization
Coverage Testing of Deep Learning Models using Dataset Characterization
Senthil Mani
A. Sankaran
Srikanth G. Tamilselvam
Akshay Sethi
AAML
20
19
0
17 Nov 2019
Simple iterative method for generating targeted universal adversarial
  perturbations
Simple iterative method for generating targeted universal adversarial perturbations
Hokuto Hirano
Kazuhiro Takemoto
AAML
33
30
0
15 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network
  Security -- A Survey
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
39
68
0
06 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection
DLA: Dense-Layer-Analysis for Adversarial Example Detection
Philip Sperl
Ching-yu Kao
Peng Chen
Konstantin Böttinger
AAML
19
34
0
05 Nov 2019
Fast-UAP: An Algorithm for Speeding up Universal Adversarial
  Perturbation Generation with Orientation of Perturbation Vectors
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
Jiazhu Dai
Le Shu
AAML
19
3
0
04 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks
Security of Facial Forensics Models Against Adversarial Attacks
Rong Huang
Fuming Fang
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
19
6
0
02 Nov 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object
  Detectors
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
35
263
0
31 Oct 2019
Beyond Universal Person Re-ID Attack
Beyond Universal Person Re-ID Attack
Wenjie Ding
Xing Wei
Rongrong Ji
Xiaopeng Hong
Qi Tian
Yihong Gong
AAML
36
7
0
30 Oct 2019
Active Subspace of Neural Networks: Structural Analysis and Universal
  Attacks
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
Chunfeng Cui
Kaiqi Zhang
Talgat Daulbaev
Julia Gusak
Ivan Oseledets
Zheng-Wei Zhang
AAML
32
25
0
29 Oct 2019
Towards Robust and Stable Deep Learning Algorithms for Forward Backward
  Stochastic Differential Equations
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations
Batuhan Güler
Alexis Laignelet
P. Parpas
OOD
21
16
0
25 Oct 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization
Unsupervised Out-of-Distribution Detection with Batch Normalization
Jiaming Song
Yang Song
Stefano Ermon
OODD
19
22
0
21 Oct 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
Qing Guo
Xiaofei Xie
Felix Juefei-Xu
Lei Ma
Zhongguo Li
Wanli Xue
Wei Feng
Yang Liu
AAML
24
4
0
19 Oct 2019
Enforcing Linearity in DNN succours Robustness and Adversarial Image
  Generation
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
A. Sarkar
Nikhil Kumar Gupta
Raghu Sesha Iyengar
AAML
16
11
0
17 Oct 2019
Extracting robust and accurate features via a robust information
  bottleneck
Extracting robust and accurate features via a robust information bottleneck
Ankit Pensia
Varun Jog
Po-Ling Loh
AAML
26
20
0
15 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via
  Malicious Generative Models
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Derui Wang
Wang
Chaoran Li
S. Wen
Surya Nepal
Yang Xiang
AAML
13
32
0
14 Oct 2019
Universal Adversarial Perturbation for Text Classification
Universal Adversarial Perturbation for Text Classification
Hang Gao
Tim Oates
AAML
19
15
0
10 Oct 2019
Probabilistic Verification and Reachability Analysis of Neural Networks
  via Semidefinite Programming
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming
Mahyar Fazlyab
M. Morari
George J. Pappas
AAML
40
41
0
09 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial
  Perturbations
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
104
19
0
08 Oct 2019
Directional Adversarial Training for Cost Sensitive Deep Learning
  Classification Applications
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
M. Terzi
Gian Antonio Susto
Pratik Chaudhari
OOD
AAML
11
15
0
08 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and
  evolution strategies
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
Laurent Meunier
Cen Chen
Li Wang
MLAU
AAML
33
40
0
05 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection
Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha
Akshayvarun Subramanya
Koninika Patil
Hamed Pirsiavash
ObjD
AAML
32
53
0
30 Sep 2019
Hidden Trigger Backdoor Attacks
Hidden Trigger Backdoor Attacks
Aniruddha Saha
Akshayvarun Subramanya
Hamed Pirsiavash
36
613
0
30 Sep 2019
Universal Approximation with Certified Networks
Universal Approximation with Certified Networks
Maximilian Baader
M. Mirman
Martin Vechev
19
21
0
30 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport
Lower Bounds on Adversarial Robustness from Optimal Transport
A. Bhagoji
Daniel Cullina
Prateek Mittal
OOD
OT
AAML
32
92
0
26 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via
  Adversarial Examples
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia
Ahmed Salem
Michael Backes
Yang Zhang
Neil Zhenqiang Gong
33
384
0
23 Sep 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization
Adversarial Learning with Margin-based Triplet Embedding Regularization
Yaoyao Zhong
Weihong Deng
AAML
28
50
0
20 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
AAML
39
669
0
17 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest
  Neighbors
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Gilad Cohen
Guillermo Sapiro
Raja Giryes
TDI
19
124
0
15 Sep 2019
Wasserstein Diffusion Tikhonov Regularization
Wasserstein Diffusion Tikhonov Regularization
A. Lin
Yonatan Dukler
Wuchen Li
Guido Montúfar
21
2
0
15 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation
White-Box Adversarial Defense via Self-Supervised Data Estimation
Zudi Lin
Hanspeter Pfister
Ziming Zhang
AAML
16
2
0
13 Sep 2019
FDA: Feature Disruptive Attack
FDA: Feature Disruptive Attack
Aditya Ganeshan
S. VivekB.
R. Venkatesh Babu
AAML
34
100
0
10 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
143
162
0
10 Sep 2019
STA: Adversarial Attacks on Siamese Trackers
STA: Adversarial Attacks on Siamese Trackers
Xugang Wu
Xiaoping Wang
Xu Zhou
Songlei Jian
GAN
AAML
32
6
0
08 Sep 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks
  in Text Classification
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
Yichao Zhou
Jyun-Yu Jiang
Kai-Wei Chang
Wei Wang
AAML
11
117
0
06 Sep 2019
Universal, transferable and targeted adversarial attacks
Universal, transferable and targeted adversarial attacks
Junde Wu
Rao Fu
AAML
SILM
31
10
0
29 Aug 2019
Detection of Backdoors in Trained Classifiers Without Access to the
  Training Set
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Zhen Xiang
David J. Miller
G. Kesidis
AAML
30
23
0
27 Aug 2019
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve
  the Tower
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
Giorgos Tolias
Filip Radenovic
Ondřej Chum
AAML
20
70
0
24 Aug 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID system
AdvHat: Real-world adversarial attack on ArcFace Face ID system
Stepan Alekseevich Komkov
Aleksandr Petiushko
AAML
CVBM
16
283
0
23 Aug 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAML
SILM
60
842
0
20 Aug 2019
On the Robustness of Human Pose Estimation
On the Robustness of Human Pose Estimation
Sahil Shah
Naman Jain
Abhishek Sharma
Arjun Jain
AAML
OOD
36
20
0
18 Aug 2019
Adversarial shape perturbations on 3D point clouds
Adversarial shape perturbations on 3D point clouds
Daniel Liu
Ronald Yu
Hao Su
3DPC
33
12
0
16 Aug 2019
A Survey of Recent Scalability Improvements for Semidefinite Programming
  with Applications in Machine Learning, Control, and Robotics
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
Anirudha Majumdar
G. Hall
Amir Ali Ahmadi
27
102
0
14 Aug 2019
AdvFaces: Adversarial Face Synthesis
AdvFaces: Adversarial Face Synthesis
Debayan Deb
Jianbang Zhang
Anil K. Jain
GAN
CVBM
AAML
PICV
33
126
0
14 Aug 2019
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