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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9296754/ |