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Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Aguilera-Martínez, Francisco, Berzal, Fernando
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Cryptography and Security Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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