facebookresearch / LWE-benchmarkingLinks
This repository contains code to generate and preprocess Learning with Errors (LWE) data and implementations of four LWE attacks uSVP, SALSA, Cool&Cruel, and Dual Hybrid Meet-in-the-Middle (MitM). We invite contributors to reproduce our results, improve on these methods, and/or suggest new concrete attacks on LWE.
☆53Updated last month
Alternatives and similar repositories for LWE-benchmarking
Users that are interested in LWE-benchmarking are comparing it to the libraries listed below
Sorting:
- ☆68Updated 6 months ago
- Lattice Sieving using GPU Tensor cores based on the General Sieve Kernel (G6K)☆33Updated 2 months ago
- Open source platform for the privacy-preserving machine learning lifecycle☆17Updated last year
- Because it's there.☆16Updated 9 months ago
- ☆10Updated 2 years ago
- Fast lattice reduction☆202Updated 2 months ago
- An easy-to-use, general and open-source tool to search for guess-and-determine attacks and key bridges☆28Updated 2 months ago
- BlindBox is a tool to isolate and deploy applications inside Trusted Execution Environments for privacy-by-design apps☆57Updated last year
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- ☆26Updated last year
- Code for paper: "Privately generating tabular data using language models".