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Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

17 September 2019
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks and Defenses in Images, Graphs and Text: A Review"

20 / 70 papers shown
Title
Relating Adversarially Robust Generalization to Flat Minima
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
13
65
0
09 Apr 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review
  of Applications, Techniques, Challenges, and Future Research Directions
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal
Mohamed Rahouti
Kashif Ahmad
Ala I. Al-Fuqaha
M. Guizani
AI4CE
16
19
0
06 Apr 2021
Robust Vision-Based Cheat Detection in Competitive Gaming
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda
I. Frosio
Seth Schneider
M. McGuire
Joohwan Kim
AAML
24
15
0
18 Mar 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data
  Injection Attack Detection in Power Grids
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Hairong Qi
AAML
13
14
0
17 Feb 2021
Detecting Adversarial Examples by Input Transformations, Defense
  Perturbations, and Voting
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
F. Nesti
Alessandro Biondi
Giorgio Buttazzo
AAML
13
39
0
27 Jan 2021
Achieving Adversarial Robustness Requires An Active Teacher
Achieving Adversarial Robustness Requires An Active Teacher
Chao Ma
Lexing Ying
19
1
0
14 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D
  Models
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin
Nour Moustafa
M. Tahtali
AAML
6
2
0
08 Dec 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
19
86
0
04 Aug 2020
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAML
GAN
25
51
0
01 Jul 2020
Differentiable Language Model Adversarial Attacks on Categorical
  Sequence Classifiers
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
I. Fursov
A. Zaytsev
Nikita Klyuchnikov
A. Kravchenko
E. Burnaev
AAML
SILM
16
5
0
19 Jun 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li
Wei Jin
Han Xu
Jiliang Tang
AAML
11
128
0
13 May 2020
Learning to fool the speaker recognition
Learning to fool the speaker recognition
Jiguo Li
Xinfeng Zhang
Jizheng Xu
Li Zhang
Y. Wang
Siwei Ma
Wen Gao
AAML
25
21
0
07 Apr 2020
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
183
272
0
03 Dec 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
302
0
21 May 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,183
0
30 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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