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chore(doc): Update README.md structure
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README.md
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README.md
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<!-- product name logo -->
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<img width=600 src="https://user-images.githubusercontent.com/5758427/231206749-8f146b97-3c5a-4201-8388-3ffa88580415.png">
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</p>
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<hr/>
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<p align="center">
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<a href="https://docs.zama.ai/tfhe-rs"> 📒 Read documentation</a> | <a href="https://zama.ai/community"> 💛 Community support</a> | <a href="https://github.com/zama-ai/awesome-zama"> 📚 FHE resources</a>
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</p>
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<p align="center">
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<!-- Version badge using shields.io -->
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<a href="https://github.com/zama-ai/tfhe-rs/releases">
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<img src="https://img.shields.io/github/v/release/zama-ai/tfhe-rs?style=flat-square">
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</a>
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<!-- Link to tutorials badge using shields.io -->
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<a href="#license">
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<img src="https://img.shields.io/badge/License-BSD--3--Clause--Clear-orange?style=flat-square">
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</a>
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<!-- Zama Bounty Program -->
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<a href="https://github.com/zama-ai/bounty-program">
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<img src="https://img.shields.io/badge/Contribute-Zama%20Bounty%20Program-yellow?style=flat-square">
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</a>
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</p>
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<hr/>
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<p align="center">
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<a href="https://docs.zama.ai/tfhe-rs"> 📒 Documentation</a> | <a href="https://zama.ai/community"> 💛 Community support</a> | <a href="https://github.com/zama-ai/awesome-zama"> 📚 FHE resources by Zama</a>
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</p>
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**TFHE-rs** is a pure Rust implementation of TFHE for boolean and integer
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arithmetics over encrypted data. It includes:
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- a **Rust** API
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- a **C** API
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- and a **client-side WASM** API
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**TFHE-rs** is meant for developers and researchers who want full control over
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what they can do with TFHE, while not having to worry about the low level
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<p align="center">
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<a href="https://github.com/zama-ai/tfhe-rs/releases"><img src="https://img.shields.io/github/v/release/zama-ai/tfhe-rs?style=flat-square"></a>
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<a href="LICENSE"><img src="https://img.shields.io/badge/License-BSD--3--Clause--Clear-%23ffb243?style=flat-square"></a>
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<a href="https://github.com/zama-ai/bounty-program"><img src="https://img.shields.io/badge/Contribute-Zama%20Bounty%20Program-%23ffd208?style=flat-square"></a>
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</p>
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## About
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### What is TFHE-rs
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**TFHE-rs** is a pure Rust implementation of TFHE for boolean and integer arithmetics over encrypted data.
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It includes:
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- a **Rust** API
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- a **C** API
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- and a **client-side WASM** API
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TFHE-rs is designed for developers and researchers who want full control over
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what they can do with TFHE, while not having to worry about the low-level
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implementation. The goal is to have a stable, simple, high-performance, and
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production-ready library for all the advanced features of TFHE.
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<br></br>
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### Main features
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- **Low-level cryptographic library** that implements Zama’s variant of TFHE, including programmable bootstrapping
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- **Implementation of the original TFHE boolean API** that can be used as a drop-in replacement for other TFHE libraries
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- **Short integer API** that enables exact, unbounded FHE integer arithmetics with up to 8 bits of message space
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- **Size-efficient public key encryption**
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- **Ciphertext and server key compression** for efficient data transfer
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- **Full Rust API, C bindings to the Rust High-Level API, and client-side Javascript API using WASM**.
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*Learn more about TFHE-rs features in the [documentation](https://docs.zama.ai/tfhe-rs/readme).*
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<br></br>
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## Table of Contents
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- **[Getting Started](#getting-started)**
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- [Cargo.toml configuration](#cargotoml-configuration)
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- [A simple example](#a-simple-example)
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- **[Resources](#resources)**
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- [TFHE deep dive](#tfhe-deep-dive)
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- [Tutorials](#tutorials)
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- [Documentation](#documentation)
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- **[Working with TFHE-rs](#working-with-tfhe-rs)**
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- [Disclaimers](#disclaimers)
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- [Citations](#citations)
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- [Contributing](#contributing)
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- [License](#license)
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- **[Support](#support)**
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<br></br>
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## Getting Started
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The steps to run a first example are described below.
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### Cargo.toml configuration
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To use the latest version of `TFHE-rs` in your project, you first need to add it as a dependency in your `Cargo.toml`:
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@@ -58,12 +84,17 @@ tfhe = { version = "*", features = ["boolean", "shortint", "integer", "aarch64-u
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tfhe = { version = "*", features = ["boolean", "shortint", "integer", "x86_64"] }
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```
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Note: You need to use a Rust version >= 1.72 to compile TFHE-rs.
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> [!Note]
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> Note: You need to use a Rust version >= 1.72 to compile TFHE-rs.
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Note: aarch64-based machines are not yet supported for Windows as it's currently missing an entropy source to be able to seed the [CSPRNGs](https://en.wikipedia.org/wiki/Cryptographically_secure_pseudorandom_number_generator) used in TFHE-rs.
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> [!Note]
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> Note: aarch64-based machines are not yet supported for Windows as it's currently missing an entropy source to be able to seed the [CSPRNGs](https://en.wikipedia.org/wiki/Cryptographically_secure_pseudorandom_number_generator) used in TFHE-rs.
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<p align="right">
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<a href="#about" > ↑ Back to top </a>
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</p>
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## A simple example
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### A simple example
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Here is a full example:
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To run this code, use the following command:
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<p align="center"> <code> cargo run --release </code> </p>
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Note that when running code that uses `tfhe-rs`, it is highly recommended
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> [!Note]
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> Note that when running code that uses `TFHE-rs`, it is highly recommended
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to run in release mode with cargo's `--release` flag to have the best performances possible.
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*Find an example with more explanations in [this part of the documentation](https://docs.zama.ai/tfhe-rs/getting-started/quick_start)*
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## Contributing
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There are two ways to contribute to TFHE-rs:
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- you can open issues to report bugs or typos, or to suggest new ideas
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- you can ask to become an official contributor by emailing [hello@zama.ai](mailto:hello@zama.ai).
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(becoming an approved contributor involves signing our Contributor License Agreement (CLA))
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Only approved contributors can send pull requests, so please make sure to get in touch before you do!
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## Credits
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This library uses several dependencies and we would like to thank the contributors of those
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libraries.
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## Need support?
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<a target="_blank" href="https://community.zama.ai">
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<img src="https://github.com/zama-ai/tfhe-rs/assets/157474013/33d856dc-f25d-454b-a010-af12bff2aa7d">
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</a>
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<p align="right">
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<a href="#about" > ↑ Back to top </a>
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</p>
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## Citing TFHE-rs
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## Resources
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### TFHE deep dive
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- [TFHE Deep Dive - Part I - Ciphertext types](https://www.zama.ai/post/tfhe-deep-dive-part-1)
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- [TFHE Deep Dive - Part II - Encodings and linear leveled operations](https://www.zama.ai/post/tfhe-deep-dive-part-2)
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- [TFHE Deep Dive - Part III - Key switching and leveled multiplications](https://www.zama.ai/post/tfhe-deep-dive-part-3)
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- [TFHE Deep Dive - Part IV - Programmable Bootstrapping](https://www.zama.ai/post/tfhe-deep-dive-part-4)
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<br></br>
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### Tutorials
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- [Homomorphic Parity Bit](https://docs.zama.ai/tfhe-rs/tutorials/parity_bit)
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- [Homomorphic Case Changing on Ascii String](https://docs.zama.ai/tfhe-rs/tutorials/ascii_fhe_string)
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- [Boolean SHA256 with TFHE-rs](https://www.zama.ai/post/boolean-sha256-tfhe-rs)
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- [Dark Market with TFHE-rs](https://www.zama.ai/post/dark-market-tfhe-rs)
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- [Regular Expression Engine with TFHE-rs](https://www.zama.ai/post/regex-engine-tfhe-rs)
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*Explore more useful resources in [TFHE-rs tutorials](https://docs.zama.ai/tfhe-rs/tutorials) and [Awesome Zama repo](https://github.com/zama-ai/awesome-zama)*
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<br></br>
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### Documentation
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Full, comprehensive documentation is available here: [https://docs.zama.ai/tfhe-rs](https://docs.zama.ai/tfhe-rs).
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<p align="right">
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<a href="#about" > ↑ Back to top </a>
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</p>
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## Working with TFHE-rs
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### Disclaimers
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#### Security Estimation
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Security estimations are done using the
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[Lattice Estimator](https://github.com/malb/lattice-estimator)
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with `red_cost_model = reduction.RC.BDGL16`.
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When a new update is published in the Lattice Estimator, we update parameters accordingly.
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#### Side-Channel Attacks
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Mitigation for side-channel attacks has not yet been implemented in TFHE-rs,
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and will be released in upcoming versions.
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<br></br>
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### Citations
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To cite TFHE-rs in academic papers, please use the following entry:
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```text
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@@ -159,22 +220,31 @@ To cite TFHE-rs in academic papers, please use the following entry:
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}
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```
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## License
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### Contributing
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This software is distributed under the BSD-3-Clause-Clear license. If you have any questions,
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please contact us at `hello@zama.ai`.
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There are two ways to contribute to TFHE-rs:
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## Disclaimers
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- [Open issues](https://github.com/zama-ai/tfhe-rs/issues/new/choose) to report bugs and typos, or to suggest new ideas
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- Request to become an official contributor by emailing [hello@zama.ai](mailto:hello@zama.ai).
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### Security Estimation
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Becoming an approved contributor involves signing our Contributor License Agreement (CLA). Only approved contributors can send pull requests, so please make sure to get in touch before you do!
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<br></br>
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Security estimations are done using the
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[Lattice Estimator](https://github.com/malb/lattice-estimator)
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with `red_cost_model = reduction.RC.BDGL16`.
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### License
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This software is distributed under the **BSD-3-Clause-Clear** license. If you have any questions, please contact us at hello@zama.ai.
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<p align="right">
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<a href="#about" > ↑ Back to top </a>
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</p>
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When a new update is published in the Lattice Estimator, we update parameters accordingly.
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### Side-Channel Attacks
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## Support
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Mitigation for side channel attacks have not yet been implemented in TFHE-rs,
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and will be released in upcoming versions.
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<a target="_blank" href="https://community.zama.ai">
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<img src="https://github.com/zama-ai/tfhe-rs/assets/157474013/8da6cf5b-51a0-4c86-9e75-fd0e4a4c64a4">
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</a>
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🌟 If you find this project helpful or interesting, please consider giving it a star on GitHub! Your support helps to grow the community and motivates further development.
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<p align="right">
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<a href="#about" > ↑ Back to top </a>
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</p>
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