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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.07298/</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/2310.07298/feed.xml" rel="self" type="application/rss+xml" /><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=40540926</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.07298:40540926</guid><pubDate>Fri, 31 May 2024 22:19:47 GMT</pubDate><description>&lt;p&gt;&amp;gt; let me put it to you this way: what is the LLM doing differently when it generates tokens that are &amp;quot;wrong&amp;quot; compared to when the tokens are &amp;quot;right&amp;quot;? It is conditioning on latents about truth, falsity, reliability, and calibration. All of these inferred latents have been shown to exist inside LLMs, as they need to exist for LLMs to do their jobs in accurately predicting the next token. (Imagine trying to predict tokens in, say, discussions about people arguing or critiques of fictional stories, or discussing mistakes made by people, and not having latents like that!) LLMs also model other…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=38272495</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:38272495</guid><pubDate>Wed, 15 Nov 2023 02:07:32 GMT</pubDate><description>&lt;p&gt;Beyond Memorization: Violating privacy via inference with LLMs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;127 points; 80 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37977251</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:37977251</guid><pubDate>Sun, 22 Oct 2023 17:20:35 GMT</pubDate><description>&lt;p&gt;Beyond Memorization: Violating Privacy via Inference with LLMs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37967418</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:37967418</guid><pubDate>Sat, 21 Oct 2023 15:07:59 GMT</pubDate><description>&lt;p&gt;Beyond Memorization: Violating Privacy via Inference with Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37962368</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:37962368</guid><pubDate>Fri, 20 Oct 2023 22:52:12 GMT</pubDate><description>&lt;p&gt;Beyond Memorization: Violating Privacy via Inference with Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37945612</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:37945612</guid><pubDate>Thu, 19 Oct 2023 17:13:16 GMT</pubDate><description>&lt;p&gt;Violating Privacy via Inference with Large Language Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Beyond Memorization: Violating Privacy Via Inference with Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=37927906</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.07298:37927906</guid><pubDate>Wed, 18 Oct 2023 12:54:23 GMT</pubDate><description>&lt;p&gt;Beyond Memorization: Violating Privacy via Inference with LLMs [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.07298/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
