The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e8332e69-994b-4ea7-aff9-2bb73fd2e5fe

Vos, Jelle (2025): Oraqle: A Depth-Aware Secure Computation Compiler. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/e8332e69-994b-4ea7-aff9-2bb73fd2e5fe.v1

Categories

• Computation Theory and Mathematics
• Information and Computing Sciences

Keywords

arithmetization compiler cryptography homomorphic encryption

Licence

MIT

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by Jelle Vos

This dataset does not contain data, only code.

The oraqle compiler lets you generate arithmetic circuits from high-level Python code. It also lets you generate code using HElib.

This repository uses a fork of fhegen as a dependency and adapts some of the code from [fhegen](https://github.com/Crypto-TII/fhegen), which was written by Johannes Mono, Chiara Marcolla, Georg Land, Tim Güneysu, and Najwa Aaraj.

Setting up

The best way to get things up and running is using a virtual environment:

- Set up a virtualenv using `python3 -m venv venv` in the directory.

- Enter the virtual environment using `source venv/bin/activate`.

- Install the requirements using `pip install requirements.txt`.

- *To overcome import problems*, run `pip install -e .`, which will create links to your files (so you do not need to re-install after every change).

History

• 2025-03-06 first online, published, posted

Publisher

4TU.ResearchData

Format

Python/.py

Associated peer-reviewed publication

Oraqle: A Depth-Aware Secure Computation Compiler

Code hosting project url

https://github.com/jellevos/oraqle

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems