Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.

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Title: Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
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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An: 185196346
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  Data: Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
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  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>
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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
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      Pagination:
        PageCount: 13
        StartPage: 1
    Titles:
      – TitleFull: Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
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            NameFull: Steenhoek, Benjamin
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            NameFull: Gao, Hongyang
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            NameFull: Le, Wei
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          Dates:
            – D: 01
              M: 05
              Text: 2024
              Type: published
              Y: 2024
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            – TitleFull: ICSE: International Conference on Software Engineering
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