Adversarial Machine Learning: Bayesian Perspectives.
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| Title: | Adversarial Machine Learning: Bayesian Perspectives. |
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| Authors: | Rios Insua, David1 (AUTHOR), Naveiro, Roi1,2 (AUTHOR), Gallego, Víctor1,3 (AUTHOR), Poulos, Jason4 (AUTHOR) |
| Source: | Journal of the American Statistical Association. Sep2023, Vol. 118 Issue 543, p2195-2206. 12p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 172404630 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=msf&AN=172404630 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01621459.2023.2183129 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 2195 Titles: – TitleFull: Adversarial Machine Learning: Bayesian Perspectives. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rios Insua, David – PersonEntity: Name: NameFull: Naveiro, Roi – PersonEntity: Name: NameFull: Gallego, Víctor – PersonEntity: Name: NameFull: Poulos, Jason IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01621459 Numbering: – Type: volume Value: 118 – Type: issue Value: 543 Titles: – TitleFull: Journal of the American Statistical Association Type: main |
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