Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.12017
Cited By
Robustifying Models Against Adversarial Attacks by Langevin Dynamics
30 May 2018
Vignesh Srinivasan
Arturo Marbán
K. Müller
Wojciech Samek
Shinichi Nakajima
AAML
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
264
3,110
0
04 Nov 2016
1