@inproceedings{bd228f95a4fd4c4fa074262508ec924f,
title = "Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models",
keywords = "artificial intelligence, benchmark, machine learning, software vulnerability detection, vulnerability detection",
author = "Daniel Grahn and Lingwei Chen and Junjie Zhang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023 ; Conference date: 01-11-2023 Through 03-11-2023",
year = "2023",
doi = "10.1109/TrustCom60117.2023.00219",
language = "English",
series = "Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1606--1613",
editor = "Jia Hu and Geyong Min and Guojun Wang",
booktitle = "Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023",
}