使用同態加密對加密數據進行情緒分析
Original: Sentiment Analysis on Encrypted Data with Homomorphic Encryption
As privacy awareness grows and regulations tighten, performing inference with cloud AI models while protecting user privacy has become a…
本文介紹了如何使用全同態加密（FHE）技術對加密數據進行情緒分析。透過 Zama 開源的 Concrete ML 工具包，開發者可以將 Hugging Face 的機器學習模型轉化為 FHE 版本。這使得用戶可以將加密後的文本傳送到雲端進行推理，雲端伺服器在完全無法得知原文內容的情況下完成情緒分析，並回傳加密的預測結果，完美兼顧雲端運算便利性與用戶隱私。
As privacy awareness grows and regulations tighten, performing inference with cloud AI models while protecting user privacy has become a significant challenge. Fully Homomorphic Encryption (FHE) offers a solution: it allows mathematical computations to be performed directly on encrypted data without first decrypting it.
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