Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models

Daniel Grahn, Lingwei Chen, Junjie Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023
EditorsJia Hu, Geyong Min, Guojun Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1606-1613
Number of pages8
ISBN (Electronic)9798350381993
DOIs
StatePublished - 2023
Externally publishedYes
Event22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023 - Exeter, United Kingdom
Duration: Nov 1 2023Nov 3 2023

Publication series

NameProceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023

Conference

Conference22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023
Country/TerritoryUnited Kingdom
CityExeter
Period11/1/2311/3/23

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Keywords

  • artificial intelligence
  • benchmark
  • machine learning
  • software vulnerability detection
  • vulnerability detection

Cite this