Announcement
TFHE-rs: Rust Fully Homomorphic Encryption Library for Secure Computation
TFHE-rs is a pure Rust library implementing the TFHE Fully Homomorphic Encryption scheme, enabling secure boolean and integer arithmetic directly on encrypted data. Protect your data privacy without sacrificing computational capabilities.
Project Introduction
Summary
TFHE-rs is an open-source library providing a robust and efficient implementation of the TFHE scheme in Rust, focusing on enabling secure computation on boolean and integer data while ensuring data confidentiality.
Problem Solved
Traditional encryption protects data at rest and in transit but requires decryption for processing, exposing sensitive information. TFHE-rs allows computations on encrypted data, solving the challenge of privacy-preserving computation.
Core Features
Secure Boolean Gates
Perform boolean operations (AND, OR, NOT, XOR) directly on encrypted bits.
Encrypted Integer Arithmetic
Support for integer addition, subtraction, multiplication, and comparison on encrypted integers.
Pure Rust Implementation
Built purely in Rust, offering memory safety and high performance potential.
Tech Stack
使用场景
TFHE-rs can be applied in various scenarios where computation on sensitive data needs to occur without compromising privacy.
Privacy-Preserving Machine Learning
Details
Perform inference on encrypted machine learning models without decrypting the input data or model weights.
User Value
Enables confidential AI services where data owners do not need to trust the service provider with raw data.
Confidential Databases and Analytics
Details
Enable secure queries and computations on databases containing sensitive information, where the database server never sees the unencrypted data.
User Value
Allows sharing and processing of sensitive datasets (e.g., health records, financial data) while maintaining strict privacy guarantees.
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