Open-source Multiparty Homomorphic Encryption Library Lattigo v4.1.0 is out!
Tune Insight
Encrypted computing platform for data collaborations, valorization and machine learning
Tune Insight announces the release of version 4.1.0 of Lattigo, its popular Multiparty Homomorphic Encryption open-source library.?
Lattigo is an open-source Go module that implements Ring-Learning-With-Errors-based homomorphic-encryption primitives and Multiparty-Homomorphic-Encryption-based secure protocols and offers equivalent performance to C++ libraries.
The library originated from a research project in 2019, actively developed by the EPFL laboratory for data security (LDS). It is acknowledged by the community as a state-of-the-art library for homomorphic encryption. Since the release of version 3 earlier in 2022, Lattigo has been supported and maintained by Tune Insight SA.???
The library supports Homomorphic Encryption in distributed systems and microservices architectures, for which Go is a common choice, thanks to its natural concurrency model and cross-platform portability.
Notable features of the Lattigo library include:
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Besides its functionalities, Lattigo has been described as "really convenient and research-friendly" by developers, making it a widely used library in academic research and prototyping all around the world. Lattigo is also one of the libraries acknowledged by the HomomorphicEncryption.org standardization group, it is one of the upcoming reference backends for HEBench, and it is part of the current draft Homomorphic Encryption standard. Lattigo is also listed on Amazon AWS Cryptographic Computing site, with C++ bindings available on AWS Labs GitHub; these bindings have been used to enable Lattigo as the underlying library for Amazon Web Services Homomorphic Implementors Toolkit.
Lattigo is also a yearly top contender in the iDash challenge, being regularly used by the winning teams.
Tune Insight relies on Lattigo as the underlying cryptographic library that supports its secure data collaboration platform, enabling multiple organizations to collaborate securely on sensitive or confidential data, while remaining in full control of their data.?
You can find more details about Lattigo at https://github.com/tuneinsight/lattigo