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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLMmap: Fingerprinting For Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.15847/</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/2407.15847/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLMmap: Fingerprinting For Large Language Models — mentioned by tcascais</title><link>https://news.ycombinator.com/item?id=43089641</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.15847:43089641</guid><pubDate>Tue, 18 Feb 2025 14:09:35 GMT</pubDate><description>&lt;p&gt;Yes, that sound indeed hard. Do you think it&amp;#x27;s possible by using memory usage patterns, GPU and RAM consumption levels, etc.? I didn&amp;#x27;t read this, but sounds interesting: https://arxiv.org/abs/2407.15847?utm_source=chatgpt.com&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.15847/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>LLMmap: Fingerprinting For Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=41991396</link><guid isPermaLink="false">urn:hackerpapers:submission:2407.15847:41991396</guid><pubDate>Wed, 30 Oct 2024 02:28:04 GMT</pubDate><description>&lt;p&gt;LLMmap: Fingerprinting for Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2407.15847/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
