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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.

Rust
Added on 2025年7月4日
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TFHE-rs: Rust Fully Homomorphic Encryption Library for Secure Computation preview
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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

Rust

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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