typedlua
fully-homomorphic-encryption
typedlua | fully-homomorphic-encryption | |
---|---|---|
3 | 19 | |
560 | 3,456 | |
- | 0.3% | |
10.0 | 7.0 | |
about 4 years ago | about 2 months ago | |
Lua | C++ | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
typedlua
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Ravi is a dialect of Lua, with JIT and AOT compilers
it's based off MIR, does it have something to do with https://mlir.llvm.org/ ?
for typed lua, there is another effort https://github.com/teal-language/tl in addition to the mentioned typescript approach: https://github.com/andremm/typedlua
- Seeking Language+Library recs for context sensitive language
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What are the current hot topics in type theory and static analysis?
Gradual typing. This is what TypeScript is: you have some typed values and untyped values, and want to verify and possibly optimize the typed code while permitting the untyped code to compile. Besides JavaScript/TypeScript, you'll find gradual typing on pretty much any other popular untyped language including Python, Lua, and Racket. Mojo is also going to have gradual typing.
fully-homomorphic-encryption
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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)
What are some alternatives?
hylo - The Hylo programming language
SEAL - Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
libaco - A blazing fast and lightweight C asymmetric coroutine library π β πβ π
differential-privacy - Google's differential privacy libraries.
lean4 - Lean 4 programming language and theorem prover
i2pd - π‘ I2P: End-to-End encrypted and anonymous Internet
eff - π§ a work in progress effect system for Haskell π§
monero - Monero: the secure, private, untraceable cryptocurrency
dafny - Dafny is a verification-aware programming language
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.
rfcs - RFC process for Bytecode Alliance projects
EVA - Compiler for the SEAL homomorphic encryption library