Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter Overflow Prevention in Secure Memories

Advancements in convolutional neural network (CNN) have resulted in remarkable success in various computing fields. However, the need to protect data against external security attacks has become increasingly important because inference process in CNNs exploit sensitive data. Secure Memory is a hardw...

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Detalles Bibliográficos
Autores principales: Kim, Jesung, Lee, Wonyoung, Hong, Jeongkyu, Kim, Soontae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694360/
https://www.ncbi.nlm.nih.gov/pubmed/36433359
http://dx.doi.org/10.3390/s22228762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694360/
https://www.ncbi.nlm.nih.gov/pubmed/36433359
http://dx.doi.org/10.3390/s22228762

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