Welcome to TFHE-rs

TFHE-rs is a pure Rust implementation of TFHE for Boolean and integer arithmetics over encrypted data. It includes a Rust and C API, as well as a client-side WASM API.

Get started

Learn the basics of TFHE-rs, set it up, and make it run with ease.

What is TFHE-rs?

Understand TFHE-rs library and basic cryptographic concepts

Installation

Follow the step by step guide to import TFHE-rs in your project

Quick start

See a full example of using TFHE-rs to compute on encrypted data

Build with TFHE-rs

Start building with TFHE-rs by exploring its core features, discovering essential guides, and learning more with user-friendly tutorials.

FHE Computations

Run FHE computation on encrypted data.

• Types

• Operations

Configuration

Advanced configuration for better performance.

• Advanced Rust

• GPU acceleration

Integration

Use TFHE-rs in different contexts or platforms..

• C API

• JS on WASM API

Explore more

Access to additional resources and join the Zama community.

Tutorials

Explore step-by-step guides that walk you through real-world uses of TFHE-rs.

• Homomorphic parity bit: Learn how to implement a parity bit calculation over encrypted data

• Homomorphic case changing on ASCII string: See how to process string data securely by changing cases while keeping the data encrypted.

• SHA256 with Boolean API: Delve into a more complex example: implementing the SHA256 hash function entirely on encrypted boolean values.

• All tutorials: A complete list of all available tutorials in one place.tutorials: A complete list of all available tutorials in one place.

References & Explanations

Take a deep dive into TFHE-rs, exploring APIs from the highest to the lowest level of abstraction and accessing additional resources for in-depth explanations.

• Rust API reference: High-level API that abstracts cryptographic complexities and simplifies the development and more

• Fine-grained APIs: Mid-level APIs that enable evaluation of Boolean, short integer, and integer circuits

• Core crypto API: Low-level API with the primitive functions and types of the TFHE scheme

• TFHE deep dive: Resources that explain the Fully Homomorphic Encryption scheme - TFHE

• TFHE-rs handbook: Document describing algorithms implemented in TFHE-rs

Support channels

Ask technical questions and discuss with the community. Our team of experts usually answers within 24 hours during working days.

• Community forum

• Discord channel

Developers

Collaborate with us to advance the FHE spaces and drive innovation together.

• Contribute to TFHE-rs

• Check the latest release note

• Request a feature

• Report a bug

---

Zama 5-Question Developer Survey

We want to hear from you! Take 1 minute to share your thoughts and helping us enhance our documentation and libraries. 👉 Click here to participate.