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Robustifying Models Against Adversarial Attacks by Langevin Dynamics

Robustifying Models Against Adversarial Attacks by Langevin Dynamics

30 May 2018
Vignesh Srinivasan
Arturo Marbán
K. Müller
Wojciech Samek
Shinichi Nakajima
    AAML
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Papers citing "Robustifying Models Against Adversarial Attacks by Langevin Dynamics"

5 / 5 papers shown
Title
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
24
155
0
08 Sep 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying
  Executable Bytes
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
Keane Lucas
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
S. Shintre
AAML
31
66
0
19 Dec 2019
A General Framework for Adversarial Examples with Objectives
A General Framework for Adversarial Examples with Objectives
Mahmood Sharif
Sruti Bhagavatula
Lujo Bauer
Michael K. Reiter
AAML
GAN
13
191
0
31 Dec 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
264
3,110
0
04 Nov 2016
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