AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
We propose AriaNN, a low-interaction privacy-preserving framework for private neural network training and inference on sensitive data.
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Sciendo
2022
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5d826b5e3d9b49df9f7ebc14cb47bd78 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Sumario: | We propose AriaNN, a low-interaction privacy-preserving framework for private neural network training and inference on sensitive data. |
---|