lpn
| Crates.io | lpn |
| lib.rs | lpn |
| version | 0.2.0 |
| source | src |
| created_at | 2018-09-05 17:52:51.82094 |
| updated_at | 2021-04-01 09:56:34.649845 |
| description | Software to study attacks on the Learning Parity with Noise problem |
| homepage | https://thomwiggers.nl/research/msc-thesis/ |
| repository | https://github.com/thomwiggers/lpn |
| max_upload_size | |
| id | 83088 |
| size | 9,288,197 |
Thom Wiggers (thomwiggers)
documentation
README
Attacks on Learning Parity with Noise
This software package allows to construct attacks on LPN.
The examples/ directory shows many examples of solving algorithms that solve various LPN instances using various (combinations of) reductions and solution-finding algorithms.
It also contains some example programs that try to find covering codes (mainly StGen codes) that have desirable properties.
Usage
- Get Rust and Cargo set up. You may need the nightly version (as of September 2018).
cargo run --release --example bkw
Source material
Thom Wiggers. Solving LPN using Large Covering Codes. Master's Thesis Radboud University, 2018.
See also https://thomwiggers.nl/research/msc-thesis/
References
- Blum, Kalai and Wasserman. Noise-tolerant learning, the parity problem, and the statistical query model. Computing, 2000, ACM, 2013.
- Levieil and Fouque. An improved LPN algorithm. SCN 2006, Springer 2018.
- Bogos, Tramer and Vaudenay. On solving LPN using BKW and variants – implementation and analysis. Cryptography and Communications, 2016.
- Bogos and Vaudenay. Optimization of LPN solving algorithms. ASIACRYPT 2015, Springer, 2016.
- Esser, Kübler and May. LPN Decoded. CRYPTO 2017, Springer, 2017.
- Samardjiska and Gligoroski. Approaching Maximum Embedding Efficiency on Small Covers Using Staricase-Generator Codes. 2015 IEEE International Symposium on Information Theory, 2015.