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Homomorphic Encryption for Sentiment Analysis

1 post · Nov 2022

What this trail covers

Hugging Face now supports sentiment analysis on encrypted data using fully homomorphic encryption (FHE), enabling privacy-preserving machine learning applications. This capability allows for secure analysis of sensitive data without decryption. The integration with Zama's FHE library enables sentiment analysis on encrypted tweets, demonstrating the practical application of FHE for privacy-preserving NLP.

All Hugging Face trails
  1. Sentiment Analysis on Encrypted Data with Homomorphic EncryptionThis post details the implementation of sentiment analysis on encrypted data using Fully Homomorphic Encryption (FHE) with Zama's FHE library. It showcases how to encrypt tweet data, perform sentiment analysis on the encrypted data, and decrypt the results. The technical contribution lies in demonstrating the practical application of FHE for privacy-preserving NLP tasks, specifically sentiment analysis, by integrating a transformer model with an FHE-enabled backend.