Privacy-preserving machine learning: a use-case-driven approach to building and protecting ML pipelines from privacy and security threats
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt
2024
|
| Links: | https://portal.igpublish.com/iglibrary/search/PACKT0007238.html https://portal.igpublish.com/iglibrary/search/PACKT0007238.html https://portal.igpublish.com/iglibrary/search/PACKT0007238.html https://portal.igpublish.com/iglibrary/search/PACKT0007238.html |
| Umfang: | 1 Online-Ressource (xx, 381 Seiten) Diagramme |
| ISBN: | 9781800564220 |
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| id | DE-604.BV049936407 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-11T15:01:16Z |
| institution | BVB |
| isbn | 9781800564220 |
| language | English |
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| physical | 1 Online-Ressource (xx, 381 Seiten) Diagramme |
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| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Packt |
| record_format | marc |
| spellingShingle | Aravilli, Srinivasa Rao Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
| title | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
| title_auth | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
| title_exact_search | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
| title_full | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats Srinivasa Rao Aravilli |
| title_fullStr | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats Srinivasa Rao Aravilli |
| title_full_unstemmed | Privacy-preserving machine learning a use-case-driven approach to building and protecting ML pipelines from privacy and security threats Srinivasa Rao Aravilli |
| title_short | Privacy-preserving machine learning |
| title_sort | privacy preserving machine learning a use case driven approach to building and protecting ml pipelines from privacy and security threats |
| title_sub | a use-case-driven approach to building and protecting ML pipelines from privacy and security threats |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0007238.html |
| work_keys_str_mv | AT aravillisrinivasarao privacypreservingmachinelearningausecasedrivenapproachtobuildingandprotectingmlpipelinesfromprivacyandsecuritythreats |