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Privacy Vulnerabilities in Multi-Cloud Machine Learning: Five Integrated Theoretical Frameworks for Systematic Understanding, Assessment, and Mitigation

Fuente: Zenodo

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Detalles Bibliográficos
Autor principal:	Tahchiev, Andrean
Formato:	Recurso digital
Lenguaje:	inglés
Publicado:	Zenodo 2026
Materias:	machine learning privacy, cloud computing, multi-cloud, differential privacy, membership inference, vulnerability assessment
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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