Privacy-preserving machine learning

Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthe...

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Detalles Bibliográficos
Otros Autores: Chang, J. Morris, author (author), Zhuang, Di , author, Samaraweera, G., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island : Manning Publications [2023]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009742721606719

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