Skip to main content

Automata Learning

Project description

# sfalearn Automata Learning classes

A python framework for working with Learning algorithms in Automata. This framework is part of the [lightbulb-framework](https://github.com/lightbulb-framework/lightbulb-framework).

## Changelog

0.0.10: Updated version of symautomata (0.0.12) in installation requirements.

## Contributors

  • George Argyros
  • Ioannis Stais
  • Suman Jana
  • Angelos D. Keromytis
  • Aggelos Kiayias

## References

  • G. Argyros, I. Stais, S. Jana, A. D. Keromytis, and A. Kiayias. 2016. SFADiff: Automated Evasion Attacks and Fingerprinting Using Black-box Differential Automata Learning. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS ‘16). ACM, New York, NY, USA, 1690-1701. doi: 10.1145/2976749.2978383
  • G. Argyros, I. Stais, A. Kiayias and A. D. Keromytis, “Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters,” 2016 IEEE Symposium on Security and Privacy (SP), San Jose, CA, 2016, pp. 91-109. doi: 10.1109/SP.2016.14

## Acknowledgements

This research was partly supported by ERC project CODAMODA, #259152.

## License

MIT License as described in LICENSE file

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
sfalearn-0.0.10.tar.gz (15.8 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page