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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Using Z3 for Formal Modeling and Verification of FNN Global Robustness · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2304.10558/</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/2304.10558/feed.xml" rel="self" type="application/rss+xml" /><item><title>Using Z3 for Formal Modeling and Verification of FNN Global Robustness — mentioned by thesmtsolver</title><link>https://news.ycombinator.com/item?id=46071890</link><guid isPermaLink="false">urn:hackerpapers:mention:2304.10558:46071890</guid><pubDate>Thu, 27 Nov 2025 18:26:20 GMT</pubDate><description>&lt;p&gt;It is really not that difficult. Here is a paper that formalizes a version of feed forward networks to prove properties about them. https://arxiv.org/pdf/2304.10558&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2304.10558/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Using Z3 for Formal Modeling and Verification of FNN Global Robustness — mentioned by cscurmudgeon</title><link>https://news.ycombinator.com/item?id=38501077</link><guid isPermaLink="false">urn:hackerpapers:mention:2304.10558:38501077</guid><pubDate>Sat, 02 Dec 2023 19:09:00 GMT</pubDate><description>&lt;p&gt;&amp;gt; OLD old fashioned AI was still viable--they are not False. Theorem provers exist and are widely used, sometimes even in deep learning. https://arxiv.org/pdf/2304.10558.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2304.10558/"&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>
