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Fully-homomorphic-encryption Alternatives
Similar projects and alternatives to fully-homomorphic-encryption
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coq
Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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HElib
HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.
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fully-homomorphic-encryption reviews and mentions
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What are the current hot topics in type theory and static analysis?
Secure computing. This includes Fully Homomorphic Encryption AKA FHE, of which there is a language/compiler which just got released and Google's older FHE compiler. FHE is probably more "compiler" than "type system", e.g. Google's compiler works on C++. Also Security Type Systems which include Oblivious data structures and Oblivious ADTs.
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Ask HN: Should we follow what impresses us?
I don't have any advice for you, but I do work on homomorphic encryption at Google and we have an FHE compiler project [1] (though it is likely going to change a lot in the coming year). I happen to have a math PhD, so the transition to this field was not a huge stretch, but before that I worked in supply chain optimization for data centers, and just decided this was too exciting to pass up.
[1]: https://github.com/google/fully-homomorphic-encryption/issue...
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Spiralβs Homomorphic Encryption β Is This the Future of Privacy?
+1, and some compilers already exist to do that for you. See, e.g., Google's compiler (which I work on). https://github.com/google/fully-homomorphic-encryption
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Weβre Christian Mouchet, Jean-Philippe Bossuat, Kurt Rohloff, Nigel Smart, Pascal Paillier, Rand Hindi, Wonkyung Jung, various researchers and library developers of homomorphic encryption to answer questions about homomorphic encryption and why itβs important for the future of data privacy! AMA
Once the tools are written, you should be able to take a program written in some language foo and transpile it to a FHE version of foo. See Google's C++ to FHE-C++ transpiler. Thus, you can test/debug your application without FHE before transpiling to something that is FHE.
- Google releases C++ Transpiler for Fully Homomorphic Encryption
- Fully Homomorphic Encryption by Google
- Fully homomorphic encryption (Google GitHub)
- r/crypto - Fully Homomorphic Encryption by Google
- Fully Homomorphic Encryption (FHE)
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Stats
google/fully-homomorphic-encryption is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of fully-homomorphic-encryption is C++.
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