<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.05918/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2601.05918/feed.xml" rel="self" type="application/rss+xml" /><item><title>Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset — HN submission</title><link>https://news.ycombinator.com/item?id=46688955</link><guid isPermaLink="false">urn:hackerpapers:submission:2601.05918:46688955</guid><pubDate>Tue, 20 Jan 2026 07:33:01 GMT</pubDate><description>&lt;p&gt;Agentic LLMs as Powerful Deanonymizers. Li 2026&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2601.05918/"&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>
