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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mossad: Defeating Software Plagiarism Detection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2010.01700/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2010.01700/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mossad: Defeating Software Plagiarism Detection — mentioned by emeryberger</title><link>https://news.ycombinator.com/item?id=41266005</link><guid isPermaLink="false">urn:hackerpapers:mention:2010.01700:41266005</guid><pubDate>Fri, 16 Aug 2024 12:59:47 GMT</pubDate><description>&lt;p&gt;JPlag, like similar plagiarism detectors, is vulnerable to attack. We outline the attack in this paper and show its effectiveness against JPlag and another widely used plagiarism detector, Moss. Note that this was written in 2020, in the pre “CheatGPT” era! https://arxiv.org/abs/2010.01700 Mossad: Defeating Software Plagiarism Detection Breanna Devore-McDonald, Emery D. Berger Automatic software plagiarism detection tools are widely used in educational settings to ensure that submitted work was not copied. These tools have grown in use together with the rise in enrollments in computer science…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2010.01700/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
