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Radial Spike and Slab Bayesian Neural Networks for Sparse Data in
  Ransomware Attacks

Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks

29 May 2022
Jurijs Nazarovs
Jack W. Stokes
Melissa J. M. Turcotte
Justin Carroll
Itai Grady
    AAML
ArXiv (abs)PDFHTML

Papers citing "Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks"

15 / 15 papers shown
Title
A Survey of Machine Learning Algorithms for Detecting Ransomware
  Encryption Activity
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity
E. Larsen
David Noever
Korey MacVittie
54
5
0
14 Oct 2021
Bayesian Neural Network Priors Revisited
Bayesian Neural Network Priors Revisited
Vincent Fortuin
Adrià Garriga-Alonso
Sebastian W. Ober
F. Wenzel
Gunnar Rätsch
Richard Turner
Mark van der Wilk
Laurence Aitchison
BDLUQCV
106
140
0
12 Feb 2021
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
Harun Oz
Ahmet Aris
A. Levi
A. S. Uluagac
66
193
0
11 Feb 2021
Leveraging Machine Learning Techniques for Windows Ransomware Network
  Traffic Detection
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
O. Alhawi
James Baldwin
Ali Dehghantanha
40
138
0
27 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
417
5,156
0
19 Jun 2018
Reducing Reparameterization Gradient Variance
Reducing Reparameterization Gradient Variance
Andrew C. Miller
N. Foti
Alexander DÁmour
Ryan P. Adams
61
84
0
22 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
191
6,015
0
04 Mar 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
344
5,372
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
196
2,538
0
02 Nov 2016
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
226
1,518
0
08 Jun 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,892
0
20 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,370
0
03 Jun 2014
Dirichlet-Laplace priors for optimal shrinkage
Dirichlet-Laplace priors for optimal shrinkage
A. Bhattacharya
D. Pati
Natesh S. Pillai
David B. Dunson
106
441
0
21 Jan 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRLBDL
144
1,168
0
31 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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