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Procedural programming languages / Cross-platform software / ALGOL 68 / C / Random forest / Regular expression / Plagiarism detection / Computing / Computer programming / Software engineering


De-anonymizing Programmers via Code Stylometry Aylin Caliskan-Islam∗ , Richard Harang† , Andrew Liu‡ , Arvind Narayanan§ , Clare Voss† , Fabian Yamaguchi¶ , and Rachel Greenstadt∗ ∗ Drexel † ARL,
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Document Date: 2015-01-21 13:26:13


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Company

Application Learner Comments Software / Google / Verizon / /

Country

Poland / Egypt / France / Japan / Russia / United States / Brazil / Canada / China / South Korea / India / /

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Facility

Princeton University / Call bar Args MAX / University of Goettingen / /

IndustryTerm

software engineering / software forensics application / software forensics / forensic technology / online rounds / correct solutions / natural-language processing / authorship verification applications / possible solutions / machine learning problem using natural language processing techniques / longer solutions / online code repositories / /

Organization

Princeton University / IDF / University of Goettingen / /

Person

Fabian Yamaguchi / Richard Harang / Rachel Greenstadt / Bob / Arvind Narayanan / Andrew Liu / Mallory / Clare Voss / /

Position

stylometric analyst / actual author / previously unknown author / claimed author / specific author / author / correct author / anonymous author / representative data corpus / particular author / actual programmer / programmer / /

Product

Code Stylometry Feature Set / /

ProgrammingLanguage

Java / R / C / Python / Haskell / L / Ruby / C++ / /

Technology

VPN / machine learning / forensic technology / natural language processing / Java / /

URL

http /

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