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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ASIDE: Architectural Separation of Instructions and Data in Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2503.10566/</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/2503.10566/feed.xml" rel="self" type="application/rss+xml" /><item><title>ASIDE: Architectural Separation of Instructions and Data in Language Models — mentioned by dijksterhuis</title><link>https://news.ycombinator.com/item?id=48609492</link><guid isPermaLink="false">urn:hackerpapers:mention:2503.10566:48609492</guid><pubDate>Sat, 20 Jun 2026 14:30:20 GMT</pubDate><description>&lt;p&gt;if you want to avoid my massive post (sorry), there&amp;#x27;s a paper here positing how instruction-data separation is likely a major cause of prompt injection specifically. https://arxiv.org/pdf/2403.06833 then another paper where they change the architecture of a model to deal with the problem and it doesn&amp;#x27;t eliminate prompt injection. changing the architecture doesn&amp;#x27;t make this problem go away. the approximate function still gets tricked. &amp;gt; On average, ASIDE lowers attack success rate by 8.6 and 9.4 percentage points https://arxiv.org/pdf/2503.10566 the real over-arching cause of all these…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2503.10566/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
