{ "info": { "author": "George Argyros, Ioannis Stais", "author_email": "ioannis.stais@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7" ], "description": "# sfalearn\nAutomata Learning classes\n\nA python framework for working with Learning algorithms in Automata. \nThis framework is part of the [lightbulb-framework](https://github.com/lightbulb-framework/lightbulb-framework).\n\n## Changelog\n\n0.0.10: Updated version of symautomata (0.0.12) in installation requirements. \n\n## Contributors\n\n* George Argyros\n* Ioannis Stais\n* Suman Jana\n* Angelos D. Keromytis\n* Aggelos Kiayias\n\n## References\n\n* *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*\n* *G. Argyros, I. Stais, A. Kiayias and A. D. 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