Concrete
Lib

Concrete is an open-source homomorphic encryption library that is simple, fast, and secure.

Concrete
ML

Allows data scientists to automatically turn Machine Learning models into their FHE equivalents.

Concrete
Numpy

An open-source set of tools which aims to simplify the use of FHE for data scientists. Concrete Numpy underpins our ML solution.

Concrete
Boolean

Built on top of concrete-core, concrete-boolean can execute boolean circuits of any length in an encrypted way.

Concrete
Core

A set of fast, low-level primitives which can be used to implement FHE programs.

Community participation

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FHE programming
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Concrete Numpy

Concrete Numpy is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.

RESOURCES

Explore more content about the Concrete Numpy library

Announcing Concrete ML v0.2

We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.

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Quantization of Neural Networks for Fully Homomorphic Encryption

Machine Learning and the Need for Privacy‍

Read Article

Privacy-preserving insurance quotes

A tutorial on how to build an FHE-enabled insurance incident predictor.

Read Article

Hummingbird

Concrete Numpy is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.

RESOURCES

Explore more content about the Hummingbird library

Announcing Concrete ML v0.2

We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.

Read Article

Quantization of Neural Networks for Fully Homomorphic Encryption

Machine Learning and the Need for Privacy‍

Read Article

Privacy-preserving insurance quotes

A tutorial on how to build an FHE-enabled insurance incident predictor.

Read Article