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Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Scheu-Hachtel, Linda, Zalonis, Jasmin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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