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D2A : a dataset built for AI-based vulnerability detecti..:
, In:
Proceedings of the 43rd International Conference on Software Engineering: Software Engineering in Practice
,
Zheng, Yunhui
;
Pujar, Saurabh
;
Lewis, Burn
... - p. 111-120 , 2021
Link:
https://dl.acm.org/doi/10.1109/ICSE-SEIP52600.2021.000..
RT T1 <cTitle>Proceedings of the 43rd International Conference on Software Engineering: Software Engineering in Practice</cTitle>: T1 <Title>D2A : a dataset built for AI-based vulnerability detection methods using differential analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3507383&Exemplar=1&LAN=DE A1 Zheng, Yunhui A1 Pujar, Saurabh A1 Lewis, Burn A1 Buratti, Luca A1 Epstein, Edward A1 Yang, Bo A1 Laredo, Jim A1 Morari, Alessandro A1 Su, Zhong PB IEEE Press YR 2021 K1 auto-labeler K1 dataset K1 vulnerability detection SP 111 OP 120 LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/ICSE-SEIP52600.2021.00020 DO https://dl.acm.org/doi/10.1109/ICSE-SEIP52600.2021.00020 SF ELIB - SuUB Bremen
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