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DiverseVul: A New Vulnerable Source Code Dataset for Deep L..:

, In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses,

Chen, Yizheng ; Ding, Zhoujie ; Alowain, Lamya.. - p. 654-668 , 2023

Link: https://dl.acm.org/doi/10.1145/3607199.3607242

RT 
T1 <cTitle>Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses</cTitle>: T1 <Title>DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3607242&Exemplar=1&LAN=DE
				
A1 Chen, Yizheng
A1 Ding, Zhoujie
A1 Alowain, Lamya
A1 Chen, Xinyun
A1 Wagner, David
PB ACM
YR 2023
K1 datasets
K1 deep learning
K1 large language models
K1 vulnerability detection
K1 Security and privacy
K1 Social and professional topics
K1 Software and its engineering
K1 Software and application security
K1 Computing/technology policy
K1 Computing methodologies
K1 Machine learning
K1 Software notations and tools
K1 Software creation and management
K1 Software organization and properties
K1 Software functional properties
K1 Software verification and validation
SP 654
OP 668
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3607199.3607242
DO https://dl.acm.org/doi/10.1145/3607199.3607242
SF ELIB - SuUB Bremen

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