Coca: Improving and explaining graph neural network-based vulnerability detection systems

• Main Authors: CAO, Sicong, SUN, Xiaobing, WU, Xiaoxue, LO, David, BO, Lili, LI, Bin, LIU, Wei
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Contrastive Learning; Causal Inference; Explainability; Graphics and Human Computer Interfaces; OS and Networks; Software Engineering
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/9250; https://ink.library.smu.edu.sg/context/sis_research/article/10250/viewcontent/2401.14886v1.pdf
• 機構: Singapore Management University

Recently, Graph Neural Network (GNN)-based vulnerability detection systems have achieved remarkable success. However, the lack of explainability poses a critical challenge to deploy black-box models in security-related domains. For this reason, several approaches have been proposed to explain the de...