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SoK: Explainable Machine Learning for Computer Security Applications
v1v2 (latest)

SoK: Explainable Machine Learning for Computer Security Applications

22 August 2022
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
ArXiv (abs)PDFHTML

Papers citing "SoK: Explainable Machine Learning for Computer Security Applications"

3 / 53 papers shown
Title
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAIFaML
410
3,820
0
28 Feb 2017
European Union regulations on algorithmic decision-making and a "right
  to explanation"
European Union regulations on algorithmic decision-making and a "right to explanation"
B. Goodman
Seth Flaxman
FaMLAILaw
67
1,903
0
28 Jun 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
183
3,708
0
10 Jun 2016
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