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I still know it's you! On Challenges in Anonymizing Source Code
April 11, 2024, 4:43 a.m. | Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck
cs.LG updates on arXiv.org arxiv.org
Abstract: The source code of a program not only defines its semantics but also contains subtle clues that can identify its author. Several studies have shown that these clues can be automatically extracted using machine learning and allow for determining a program's author among hundreds of programmers. This attribution poses a significant threat to developers of anti-censorship and privacy-enhancing technologies, as they become identifiable and may be prosecuted. An ideal protection from this threat would be …
abstract arxiv author challenges code cs.cr cs.lg cs.pl cs.se identify machine machine learning semantics studies type
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