OpenFHENumFOCUS Sponsored Project since 2019
OpenFHE (formerly Palisade: https://www.openfhe.org/) is an open-source project that provides efficient implementations of lattice cryptography building blocks and leading homomorphic encryption schemes. Originally developed by researchers in the cryptographic community, OpenFHE is actively being used by several groups in academics and industry (see the list at https://www.openfhe.org/community/) and is being incorporated into products to protect the privacy of individuals’ data while allowing computation on that data.
OpenFHE is designed for usability, providing simpler APIs, modularity, cross-platform support and integration of hardware accelerators. OpenFHE complies with the HomomorphicEncryption.org security standards for homomorphic encryption. We offer OpenFHE under the 2-clause BSD open-source license, making it easier to wrap and redistribute OpenFHE in products.
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We’re fortunate that there have been high-quality publications related to OpenFHE and precursor projects. A current list of OpenFHE related publications can be found at https://palisade-crypto.org/publications.
OpenFHE is written in cross platform C++11. Compilable on Linux, Windows and macOS. Python wrappers for OpenFHE are written in Python 3
Data privacy for computation, data signing, proxy-reencryption
OpenFHE is a general lattice cryptography library that currently includes efficient implementations of the following lattice cryptography capabilities:
- Homomorphic Encryption (HE)
- Brakerski/Fan-Vercauteren scheme (3 variants)
- Brakerski-Gentry-Vaikuntanathan scheme
- Cheon-Kim-Kim-Song scheme
- FHEW (Ducas-Micciancio) scheme
- Stehle-Steinfeld scheme
- Proxy Re-Encryption for all HE schemes
- Digital Signature
- Identity-Based Encryption
- Ciphertext-Policy Attribute-Based Encryption
CRANNOG: open source tools to conduct privacy-preserving statistical analysis and database linking for social science and economics. In partnership with the Institute for Research on Innovation and Science (IRIS) at the University of Michigan. This project is funded by the Sloan Foundation.