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Using a Collated Cybersecurity Dataset for Machine Learning and
  Artificial Intelligence

Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence

5 August 2021
Erik Hemberg
Una-May O’Reilly
ArXiv (abs)PDFHTMLGithub

Papers citing "Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence"

4 / 4 papers shown
Hybrid Privilege Escalation and Remote Code Execution Exploit Chains
Hybrid Privilege Escalation and Remote Code Execution Exploit Chains
Miguel Tulla
Andrea Vignali
Christian Colon
Giancarlo Sperli
Simon Pietro Romano
Masataro Asai
Una-May O’Reilly
Erik Hemberg
268
1
0
09 Apr 2025
LLMs Killed the Script Kiddie: How Agents Supported by Large Language
  Models Change the Landscape of Network Threat Testing
LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing
Stephen Moskal
Sam Laney
Erik Hemberg
Una-May O’Reilly
264
36
0
10 Oct 2023
SoK: The MITRE ATT&CK Framework in Research and Practice
SoK: The MITRE ATT&CK Framework in Research and Practice
Shanto Roy
E. Panaousis
C. Noakes
Aron Laszka
S. Panda
G. Loukas
241
15
0
14 Apr 2023
Towards automation of threat modeling based on a semantic model of
  attack patterns and weaknesses
Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
A. Brazhuk
223
5
0
08 Dec 2021
1
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