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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>JavelinGuard: Low-Cost Transformer Architectures for LLM Security · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.07330/</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/2506.07330/feed.xml" rel="self" type="application/rss+xml" /><item><title>JavelinGuard: Low-Cost Transformer Architectures for LLM Security — HN submission</title><link>https://news.ycombinator.com/item?id=44238404</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.07330:44238404</guid><pubDate>Tue, 10 Jun 2025 15:59:42 GMT</pubDate><description>&lt;p&gt;JavelinGuard: Low-Cost Transformer Architectures for LLM Security&lt;/p&gt;&lt;p&gt;We present JavelinGuard, a suite of low-cost, high-performance model architectures designed for detecting malicious intent in Large Language Model (LLM) interactions, optimized specifically for production deployment. Recent advances in transformer architectures, including compact BERT(Devlin et al. 2019) variants (e.g., ModernBERT (Warner et al. 2024)), allow us to build highly accurate classifiers with as few as approximately 400M parameters that achieve rapid inference speeds even on standard CPU hardware. We systematically explore five progressively sophisticated transformer-based…&lt;/p&gt;&lt;p&gt;29 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.07330/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
