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MixNN: A Design for Protecting Deep Learning Models

In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters since the model consists of several layers and each layer contains its own structure and parameters. The layers in a deep learning model of MixNN are fully decentralized. It hides comm...

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Detalles Bibliográficos
Autores principales: Liu, Chao, Chen, Hao, Wu, Yusen, Jin, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656547/
https://www.ncbi.nlm.nih.gov/pubmed/36365952
http://dx.doi.org/10.3390/s22218254