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Combining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Scheliga, Daniel, Mäder, Patrick, Seeland, Marco
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Artificial Intelligence Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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