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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"
8 / 8 papers shown
Title
Surprises in adversarially-trained linear regression
Antônio H. Ribeiro
Dave Zachariah
Thomas B. Schon
AAML
182
2
0
25 May 2022
On Trace of PGD-Like Adversarial Attacks
Mo Zhou
Vishal M. Patel
AAML
75
4
0
19 May 2022
Polarizing Front Ends for Robust CNNs
Can Bakiskan
S. Gopalakrishnan
Metehan Cekic
Upamanyu Madhow
Ramtin Pedarsani
AAML
37
4
0
22 Feb 2020
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Fatemeh Sheikholeslami
Swayambhoo Jain
G. Giannakis
AAML
67
25
0
05 Apr 2019
On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks
P. Langenberg
E. Balda
Arash Behboodi
R. Mathar
53
16
0
29 Jan 2019
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo
Chao Zhang
Changshui Zhang
Yurong Chen
AAML
100
154
0
23 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
102
49
0
02 Oct 2018
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
107
229
0
18 Jul 2018
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