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cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU

The emerging topic of privacy-preserving deep learning as a service has attracted increasing attention in recent years, which focuses on building an efficient and practical neural network prediction framework to secure client and model-holder data privately on the cloud. In such a task, the time cos...

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Detalles Bibliográficos
Autores principales: Bai, Yanan, Liu, Quanliang, Wu, Wenyuan, Feng, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734535/
https://www.ncbi.nlm.nih.gov/pubmed/35002664
http://dx.doi.org/10.3389/fncom.2021.799977