On the Resilience of Traditional AI Algorithms Toward Poisoning Attacks for Vulnerability Detection.
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| Title: | On the Resilience of Traditional AI Algorithms Toward Poisoning Attacks for Vulnerability Detection. |
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| Authors: | González-Manzano, Lorena1,2, lgmanzan@inf.uc3m.es, Garcia-Alfaro, Joaquin2, Moradpoor, Naghmeh, jiweitian@xjtu.edu.cn |
| Source: | IET Information Security (Wiley-Blackwell); 10/11/2025, Vol. 2025, p1-31, 31p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188607061 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188607061 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/ise2/9997989 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Titles: – TitleFull: On the Resilience of Traditional AI Algorithms Toward Poisoning Attacks for Vulnerability Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: González-Manzano, Lorena – PersonEntity: Name: NameFull: Garcia-Alfaro, Joaquin – PersonEntity: Name: NameFull: Moradpoor, Naghmeh IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 10 Text: 10/11/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17518709 Numbering: – Type: volume Value: 2025 Titles: – TitleFull: IET Information Security (Wiley-Blackwell) Type: main |
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