docs.rs failed to build lpn-0.1.1
Please check the build logs for more information.
See Builds for ideas on how to fix a failed build, or Metadata for how to configure docs.rs builds.
If you believe this is docs.rs' fault, open an issue.
Please check the build logs for more information.
See Builds for ideas on how to fix a failed build, or Metadata for how to configure docs.rs builds.
If you believe this is docs.rs' fault, open an issue.
Visit the last successful build:
lpn-0.2.0
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.
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.