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Learning Explainable Representations of Malware Behavior

Learning Explainable Representations of Malware Behavior

23 June 2021
Paul Prasse
J. Brabec
J. Kohout
Martin Kopp
L. Bajer
Tobias Scheffer
    AAML
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Papers citing "Learning Explainable Representations of Malware Behavior"

3 / 3 papers shown
Title
Yes, Machine Learning Can Be More Secure! A Case Study on Android
  Malware Detection
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
Ambra Demontis
Marco Melis
Battista Biggio
Davide Maiorca
Dan Arp
Konrad Rieck
Igino Corona
Giorgio Giacinto
Fabio Roli
AAML
49
284
0
28 Apr 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
175
5,968
0
04 Mar 2017
Not Just a Black Box: Learning Important Features Through Propagating
  Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
80
786
0
05 May 2016
1