BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection

Previous studies have shown that existing deep learning-based approaches can significantly improve the performance of vulnerability detection. They represent code in various forms and mine vulnerability features with deep learning models. However, the differences of code representation forms and dee...

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Veröffentlicht in:	Information and software technology Jg. 136; S. 106576
Hauptverfasser:	Cao, Sicong, Sun, Xiaobing, Bo, Lili, Wei, Ying, Li, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2021
Schlagworte:	Bidirectional Graph Neural-Network Code representation Vulnerability detection Bidirectional Graph Neural-Network Code representation Vulnerability detection
ISSN:	0950-5849, 1873-6025
Online-Zugang:	Volltext
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