Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
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| Title: | Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. |
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| Authors: | Steenhoek, Benjamin1, benjis@iastate.edu, Gao, Hongyang1, hygao@iastate.edu, Le, Wei1, weile@iastate.edu |
| Source: | ICSE: International Conference on Software Engineering; 2024, p1-13, 13p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185196346 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Steenhoek%2C+Benjamin%22">Steenhoek, Benjamin</searchLink><relatesTo>1</relatesTo>, <i>benjis@iastate.edu</i><br /><searchLink fieldCode="AU" term="%22Gao%2C+Hongyang%22">Gao, Hongyang</searchLink><relatesTo>1</relatesTo>, <i>hygao@iastate.edu</i><br /><searchLink fieldCode="AU" term="%22Le%2C+Wei%22">Le, Wei</searchLink><relatesTo>1</relatesTo>, <i>weile@iastate.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>; 2024, p1-13, 13p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185196346 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3597503.3623345 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Steenhoek, Benjamin – PersonEntity: Name: NameFull: Gao, Hongyang – PersonEntity: Name: NameFull: Le, Wei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2024 Type: published Y: 2024 Titles: – TitleFull: ICSE: International Conference on Software Engineering Type: main |
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