Skip to content

Flexibly construct and implement attacks on Learning Parity with Noise

Notifications You must be signed in to change notification settings

thomwiggers/lpn

Repository files navigation

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

  1. Get Rust and Cargo set up. You may need the nightly version (as of September 2018).
  2. 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/publication/masters-thesis/

Thom Wiggers and Simona Samardjiska. Practically Solving LPN. IEEE ISIT 2021, 2021.

See also https://thomwiggers.nl/publication/lpn/

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.

About

Flexibly construct and implement attacks on Learning Parity with Noise

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages