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Deep learning at the shallow end: Malware classification for non-domain
  experts

Deep learning at the shallow end: Malware classification for non-domain experts

22 July 2018
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
ArXivPDFHTML

Papers citing "Deep learning at the shallow end: Malware classification for non-domain experts"

5 / 5 papers shown
Title
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Matteo Brosolo
A. Aazami
R. Agarwal
M. Prabhakaran
S. Nicolazzo
Antonino Nocera
V. P.
AAML
32
0
0
12 May 2025
Avast-CTU Public CAPE Dataset
Avast-CTU Public CAPE Dataset
B. Bosanský
Dominik Kouba
Ondrej Manhal
Thorsten Sick
Viliam Lisý
J. Kroustek
P. Somol
72
5
0
06 Sep 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware
  Classification
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Daniel Gibert
Carles Mateu
Jordi Planes
Quan Le
AAML
29
48
0
12 Jun 2022
Automated Artefact Relevancy Determination from Artefact Metadata and
  Associated Timeline Events
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events
Xiaoyu Du
Quan Le
Mark Scanlon
34
14
0
02 Dec 2020
Random CapsNet Forest Model for Imbalanced Malware Type Classification
  Task
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Aykut Çayır
U. Ünal
Hasan Dag
26
41
0
20 Dec 2019
1