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.
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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 ArticlePrivacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read ArticleExplore 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 ArticleQuantization of Neural Networks for Fully Homomorphic Encryption
Machine Learning and the Need for Privacy
Read ArticlePrivacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read Article