Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions.
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| Title: | Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions. |
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| Authors: | Kucur, Elif Nur1, elifkucur@marun.edu.tr, Buyuktanir, Tolga2, Ugurelli, Muharrem2,3, Yildiz, Kazim1,3 |
| Source: | Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p277, 46p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16010277 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 46 StartPage: 277 Titles: – TitleFull: Privacy-Preserving Machine Learning Techniques: Cryptographic Approaches, Challenges, and Future Directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kucur, Elif Nur – PersonEntity: Name: NameFull: Buyuktanir, Tolga – PersonEntity: Name: NameFull: Ugurelli, Muharrem – PersonEntity: Name: NameFull: Yildiz, Kazim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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