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Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
v1v2v3 (latest)

Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

15 January 2018
Zhinus Marzi
S. Gopalakrishnan
Upamanyu Madhow
Ramtin Pedarsani
    AAML
ArXiv (abs)PDFHTML

Papers citing "Sparsity-based Defense against Adversarial Attacks on Linear Classifiers"

4 / 4 papers shown
Title
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression
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
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
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
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,903
0
14 Nov 2015
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