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Verifiable and Provably Secure Machine Unlearning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Eisenhofer, Thorsten, Riepel, Doreen, Chandrasekaran, Varun, Ghosh, Esha, Ohrimenko, Olga, Papernot, Nicolas
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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