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Towards an Automated Pipeline for Detecting and Classifying Malware
  through Machine Learning

Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning

10 June 2021
Nicola Loi
Claudio Borile
Daniele Ucci
ArXiv (abs)PDFHTML

Papers citing "Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning"

6 / 6 papers shown
Title
AVClass2: Massive Malware Tag Extraction from AV Labels
AVClass2: Massive Malware Tag Extraction from AV Labels
Silvia Sebastián
Juan Caballero
VLM
33
118
0
18 Jun 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware
  Classification
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
Edward Raff
Charles K. Nicholas
AAML
70
57
0
15 Jun 2020
Automatic Malware Description via Attribute Tagging and Similarity
  Embedding
Automatic Malware Description via Attribute Tagging and Similarity Embedding
Felipe N. Ducau
Ethan M. Rudd
Tad M. Heppner
Alex Long
Konstantin Berlin
35
16
0
15 May 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
202
9,479
0
09 Feb 2018
Malware Detection by Eating a Whole EXE
Malware Detection by Eating a Whole EXE
Edward Raff
Jon Barker
Jared Sylvester
Robert Brandon
Bryan Catanzaro
Charles K. Nicholas
71
546
0
25 Oct 2017
Novel Feature Extraction, Selection and Fusion for Effective Malware
  Family Classification
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
Mansour Ahmadi
Dmitry Ulyanov
Stanislav Semenov
Mikhail Trofimov
Giorgio Giacinto
40
345
0
13 Nov 2015
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