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Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Redberg, Rachel, Koskela, Antti, Wang, Yu-Xiang
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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