concrete-python 2.6.0

A state-of-the-art homomorphic encryption framework

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📒 Documentation | 💛 Community support | 📚 FHE resources by Zama

About

What is Concrete

Concrete is an open-source FHE Compiler that simplifies the use of fully homomorphic encryption (FHE). Concrete framework contains a TFHE Compiler based on LLVM, making writing FHE programs an easy task for developers.

Fully Homomorphic Encryption (FHE) enables performing computations on encrypted data directly without the need to decrypt it first. FHE allows developers to build services that ensure privacy for all users. FHE is also an excellent solution against data breaches as everything is performed on encrypted data. Even if the server is compromised, no sensitive data will be leaked.

Concrete is a versatile library that can be used for a variety of purposes. For instance, Concrete ML is built on top of Concrete to simplify Machine-Learning oriented use cases.

Table of Contents

• Getting Started
  • Installation
  • A simple example
• Resources
  • Concrete deep dive
  • Tutorials
  • Documentation
• Working with Concrete
  • Citations
  • Contributing
  • License
• Support
  
  

Getting Started

Installation

Depending on your OS, Concrete may be installed with Docker or with pip:

OS / HW	Available on Docker	Available on PyPI
Linux	Yes	Yes
Windows	Yes	Coming soon
Windows Subsystem for Linux	Yes	Yes
macOS 11+ (Intel)	Yes	Yes
macOS 11+ (Apple Silicon: M1, M2, etc.)	Coming soon	Yes

Pip

The preferred way to install Concrete is through PyPI:

pip install -U pip wheel setuptools
pip install concrete-python

Docker

You can get the concrete-python docker image by pulling the latest docker image:

docker pull zamafhe/concrete-python:v2.0.0

Find more detailed installation instructions in this part of the documentation

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A simple example

To compute on encrypted data, you first need to define the function you want to compute, then compile it into a Concrete Circuit, which you can use to perform homomorphic evaluation. Here is the full example:

from concrete import fhe

def add(x, y):
    return x + y

compiler = fhe.Compiler(add, {"x": "encrypted", "y": "encrypted"})
inputset = [(2, 3), (0, 0), (1, 6), (7, 7), (7, 1), (3, 2), (6, 1), (1, 7), (4, 5), (5, 4)]

print(f"Compiling...")
circuit = compiler.compile(inputset)

print(f"Generating keys...")
circuit.keygen()

examples = [(3, 4), (1, 2), (7, 7), (0, 0)]
for example in examples:
    encrypted_example = circuit.encrypt(*example)
    encrypted_result = circuit.run(encrypted_example)
    result = circuit.decrypt(encrypted_result)
    print(f"Evaluation of {' + '.join(map(str, example))} homomorphically = {result}")

Or if you have a simple function that you can decorate, and you don't care about explicit steps of key generation, encryption, evaluation and decryption:

from concrete import fhe

@fhe.compiler({"x": "encrypted", "y": "encrypted"})
def add(x, y):
    return x + y

inputset = [(2, 3), (0, 0), (1, 6), (7, 7), (7, 1), (3, 2), (6, 1), (1, 7), (4, 5), (5, 4)]

print(f"Compiling...")
circuit = add.compile(inputset)

examples = [(3, 4), (1, 2), (7, 7), (0, 0)]
for example in examples:
    result = circuit.encrypt_run_decrypt(*example)
    print(f"Evaluation of {' + '.join(map(str, example))} homomorphically = {result}")

This example is explained in more detail in this part of the documentation.

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Resources

Concrete deep dive

• Part I: Concrete, Zama's Fully Homomorphic Compiler
• Part II: The Architecture of Concrete, Zama's Fully Homomorphic Encryption Compiler Leveraging MLIR
  
  

Tutorials

• [Video tutorial] Dive into Concrete - Zama's Fully Homomorphic Encryption Compiler
• [Video tutorial] How To Get Started With Concrete - Zama's Fully Homomorphic Encryption Compiler
• The Encrypted Game of Life in Python Using Concrete
• Encrypted Key-value Database Using Homomorphic Encryption
• SHA-256 Implementation Using Concrete

Explore more useful resources in Concrete tutorials and Awesome Zama repo. If you have built awesome projects using Concrete, please let us know and we will be happy to showcase them here!

Documentation

Full, comprehensive documentation is available at https://docs.zama.ai/concrete.

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Working with Concrete

Citations

To cite Concrete in academic papers, please use the following entry:

@Misc{Concrete,
  title={{Concrete: TFHE Compiler that converts python programs into FHE equivalent}},
  author={Zama},
  year={2022},
  note={\url{https://github.com/zama-ai/concrete}},
}

Contributing

There are two ways to contribute to Concrete. You can:

• Open issues to report bugs and typos, or to suggest new ideas
• Request to become an official contributor by emailing [e-mail].

Becoming an approved contributor involves signing our Contributor License Agreement (CLA)). Only approved contributors can send pull requests (PRs), so get in touch before you do!

Additionally, you can contribute to advancing the FHE space with Zama by participating in our Bounty Program and Grant Programs!

License

This software is distributed under the BSD-3-Clause-Clear. Check for more details

If you have any questions, please contact us at [e-mail].

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Support

🌟 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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