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TFHE Deep Dive - Part I - Ciphertext types

zama.ai · 2,993 words · saved by 1 readers

> Part I: Ciphertext types > Part II: Encodings and linear leveled operations > Part III: Key switching and leveled multiplications > Part IV: Programmable Bootstrapping This blog post is part of a series of posts dedicated to the Fully Homomorphic Encryption scheme called TFHE (also known as CGGI, from the names of the authors Chillotti-Gama-Georgieva-Izabachène). Each post will allow you to go deeper into the understanding of the scheme. The subject is challenging, we know, but don’t worry, we will dive into it little by little. Disclaimer: If you have watched the video TFHE Deep Dive, you might find some minor differences in this series of blog posts. That’s because here there is more content and a larger focus on examples. All the dots will connect in the end. TFHE is a Fully Homomorphic Encryption (FHE) scheme. That means it is an encryption scheme that allows you to perform computations over encrypted data. To know more about FHE schemes in general, take a look at this blog post.

TFHE Deep Dive - Part I - Ciphertext types Solutions Ecosystem Resources Contact us Launch App ↗ Launch App ↗ ← Back May 4, 2022 — Ilaria Chillotti TFHE Deep Dive - Part I - Ciphertext types > Part I: Ciphertext types > Part II: Encodings and linear leveled operations > Part III: Key switching and leveled multiplications > Part IV: Programmable Bootstrapping × Zama released TFHE-rs: a pure Rust implementation of the TFHE scheme for boolean and integers FHE arithmetics. The library is meant for developers and researchers who want full control over what they do with TFHE, while not concern

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