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Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Scheu-Hachtel, Linda, Zalonis, Jasmin
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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