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A Kings Ransom for Encryption: Ransomware Classification using Augmented
  One-Shot Learning and Bayesian Approximation

A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation

19 August 2019
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
ArXivPDFHTML

Papers citing "A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation"

3 / 3 papers shown
Title
Volenti non fit injuria: Ransomware and its Victims
Volenti non fit injuria: Ransomware and its Victims
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
13
5
0
19 Nov 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1