TFHE-rs is meant for developers and researchers who want full control over what they can do with TFHE, while not having to worry about the low level implementation. The goal is to have a stable, simple, high-performance, and production-ready library for all the advanced features of TFHE.

In this tutorial, Zama team member Arthur Meyre shows you how to perform array and tensor operations on encrypted data Using TFHE-rs.

Additional links

• Star Zama's TFHE-rs GitHub repository to endorse our work.
• Review Zama's TFHE-rs documentation.
• Get support on our community channels.
• Help us advance the FHE space with the Zama Bounty Program & Grant Program.
• Participate in our 5-Question Developer Survey.