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Combating Adversarial Attacks Using Sparse Representations
11 March 2018
S. Gopalakrishnan
Zhinus Marzi
Upamanyu Madhow
Ramtin Pedarsani
AAML
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Papers citing
"Combating Adversarial Attacks Using Sparse Representations"
7 / 7 papers shown
Title
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAML
GAN
86
1,178
0
17 May 2018
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Zhinus Marzi
S. Gopalakrishnan
Upamanyu Madhow
Ramtin Pedarsani
AAML
49
31
0
15 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
69
174
0
26 Dec 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
64
307
0
08 May 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations
A. Bhagoji
Daniel Cullina
Chawin Sitawarin
Prateek Mittal
AAML
50
231
0
09 Apr 2017
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
90
592
0
16 Jun 2016
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
151
4,903
0
14 Nov 2015
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