http://events.ccc.de/congress/2011/Fahrplan/events/4781.en.html

"This talk will introduce the open source authorship recognition and obfuscation projects Anonymouth and Stylo. Anonymouth aids individuals in obfuscating their writing style in order to maintain anonymity against multiple forms of machine learning based authorship recognition techniques. The basis for this tool is Stylo, an authorship recognition research tool that implements multiple forms of state-of-the-art stylometry methods. Anonymouth uses Stylo to attempt authorship recognition and suggest changes to a document that will obfuscate the identity of the author to the known set of authorship recognition techniques"

[PDF] Deceiving Authorship Detection Slides (application/pdf - 4 MB)
http://events.ccc.de/congress/2011/Fahrplan/attachments/2019_28C3-authorship.pdf.

State of Adversarial Stylometry: can you change your prose-style?
http://boingboing.net/2011/12/29/state-of-adversarial-stylometr.html

"Today at the Chaos Computer Congress in Berlin (28C3), Sadia Afroz and Michael Brennan presented a talk called "Deceiving Authorship Detection," about research from Drexel College on "Adversarial Stylometry," the practice of identifying the authors of texts who don't want to be identified, and the process of evading detection."

Privacy, Security and Automation Lab
https://psal.cs.drexel.edu/index.php/Main_Page

JStylo (alpha) - Authorship Recognition Analysis Tool 
https://www.cs.drexel.edu/~mb553/jstylo-0.0.1.tar.gz

Anonymouth (alpha) - Authorship Recognition Evasion Tool 
https://www.cs.drexel.edu/~mb553/anonymouth-0.0.1.tar.gz

Drexel AMT Adversarial Stylometry Corpus (45 Authors, 6500 words per author minimum)
https://www.cs.drexel.edu/~mb553/drexel-amt-corpus.tar.gz

Brennan-Greenstadt Adversarial Stylometry Corpus (12 Authors, 5000 words per author minimum)
https://www.cs.drexel.edu/~mb553/brennan-greenstadt-corpus.tar.gz