PrivFT: Private and Fast Text Classification With Homomorphic Encryption

PrivFT: Private and Fast Text Classification With Homomorphic Encryption

We present an efficient and non-interactive method for Text Classification while preserving the privacy of the content using Fully Homomorphic Encryption (FHE). Our solution (named Private Fast Text (PrivFT)) provides two services: 1) making inference of encrypted user inputs using a plaintext model...

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Bibliographic Details
Main Authors: Ahmad Al Badawi, Louie Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cryptography
data privacy
data security
homomorphic encryption
natural language processing
graphics processors
Online Access:https://ieeexplore.ieee.org/document/9296754/

Internet

https://ieeexplore.ieee.org/document/9296754/

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