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End-to-End Deep Neural Networks and Transfer Learning for Automatic
  Analysis of Nation-State Malware

End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware

30 November 2019
Ishai Rosenberg
Guillaume Sicard
E. David
    AAML
ArXiv (abs)PDFHTML

Papers citing "End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware"

10 / 10 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural
  Networks
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
Ishai Rosenberg
Guillaume Sicard
E. David
33
43
0
27 Nov 2017
DeepSign: Deep Learning for Automatic Malware Signature Generation and
  Classification
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
Omid David
N. Netanyahu
35
206
0
21 Nov 2017
On the Feasibility of Malware Authorship Attribution
On the Feasibility of Malware Authorship Attribution
S. Alrabaee
Paria Shirani
M. Debbabi
Lingyu Wang
DeLMO
60
48
0
10 Jan 2017
When Coding Style Survives Compilation: De-anonymizing Programmers from
  Executable Binaries
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries
Aylin Caliskan
Fabian Yamaguchi
Edwin Dauber
Richard E. Harang
Konrad Rieck
Rachel Greenstadt
Arvind Narayanan
37
115
0
28 Dec 2015
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
38
344
0
13 Nov 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
186
4,950
0
06 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
191
7,726
0
02 Mar 2011
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