fully-homomorphic-encryption
hylo
fully-homomorphic-encryption | hylo | |
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19 | 54 | |
3,455 | 1,110 | |
0.3% | 1.8% | |
7.0 | 9.9 | |
about 2 months ago | 3 days ago | |
C++ | Swift | |
Apache License 2.0 | Apache License 2.0 |
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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.
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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Spiral’s Homomorphic Encryption – 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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We’re 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 it’s 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)
hylo
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Vala Programming Language
Or Val[0], now called Hylo (for a good reason), or V[1].
[0] https://www.hylo-lang.org
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Cpp2 and cppfront – An experimental 'C++ syntax 2' and its first compiler
The evolution of C++ has been a multi-decade history of dealing with difficult reality.
I have great hope that Herb can create with his cppfront project “The Very Best of C++” to carry that tremendous legacy forward.
If I was to throw my hat into a “C++ successor”, it would be https://www.hylo-lang.org/ with its “all the safeties” and “tell you when you’re doing it sub-optimal” approach.
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Borrow Checking Hylo [video]
Paper: https://2023.splashcon.org/details/iwaco-2023-papers/5/Borro...
> Hylo is a language for high-level systems programming that promises safety without loss of efficiency. It is based on mutable value semantics, a discipline that emphasizes the independence of values to support local reasoning. The result—in contrast with approaches based on sophisticated aliasing restrictions—is an efficient, expressive language with a simple type system and no need for lifetime annotations.
> Safety guarantees in Hylo programs are verified by an abstract interpreter processing an intermediate representation, Hylo IR, that models lifetime properties with ghost instructions. Further, lifetime constraints are used to eliminate unnecessary memory allocations predictably.
https://www.hylo-lang.org/
https://github.com/Hylo-lang/Hylo
- Hylo a programming language that tries to be safe and fast
- Odin Programming Language
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Why do lifetimes need to be leaky?
A model without lifetimes is also being explored in other languages, e.g. in Hylo. It sacrifices expressiveness, but on the other hand you don't have to deal with explicit lifetimes!
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D Programming Language
Why go through all the trouble when you can do this: https://www.hylo-lang.org/ and not spend a second thinking of lifetimes? No, copies will not be issued unless necessary.
Or why not keep exploring this idea as well? More research-oriented than the first one right now, though, so take it with a grain of salt: https://vale.dev/
- Berry is a ultra-lightweight dynamically typed embedded scripting language
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I've heard that "Rust's borrow checker is necessary to ensure memory safety without a GC" usually also implying it's the only way, but I've done the same without the borrow checker. Am I just clueless/confused?
Get rid of references at the cost of some expressivity (see Hylo, formerly Val)
- Rename 'Val' to 'Hylo'
What are some alternatives?
SEAL - Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
carbon-lang - Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
differential-privacy - Google's differential privacy libraries.
jakt - The Jakt Programming Language
i2pd - 🛡 I2P: End-to-End encrypted and anonymous Internet
rust - Empowering everyone to build reliable and efficient software.
monero - Monero: the secure, private, untraceable cryptocurrency
vale - Verified Assembly Language for Everest
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.
Vale - Compiler for the Vale programming language - http://vale.dev/
EVA - Compiler for the SEAL homomorphic encryption library
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.