Vul-Mixer: Efficient and Effective Machine Learning–Assisted Software Vulnerability Detection

Daniel Grahn, Lingwei Chen, Junjie Zhang

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number2538
JournalElectronics (Switzerland)
Volume13
Issue number13
DOIs
StatePublished - Jul 2024
Externally publishedYes

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • machine learning
  • mixer
  • multiple-demand system
  • resource-efficiency
  • vulnerability detection

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