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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2408.12798/</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/2408.12798/feed.xml" rel="self" type="application/rss+xml" /><item><title>BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models — mentioned by lmf4lol</title><link>https://news.ycombinator.com/item?id=48320187</link><guid isPermaLink="false">urn:hackerpapers:mention:2408.12798:48320187</guid><pubDate>Fri, 29 May 2026 07:32:38 GMT</pubDate><description>&lt;p&gt;This is not entirely true and ignoring a couple of potential attack vectors like Data Poisoning: https://arxiv.org/abs/2408.12798 Its of course highly dependant on the use case and the environment, but simply saying that the only important part is to know where the data goes is too simple.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2408.12798/"&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>BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models — mentioned by teej</title><link>https://news.ycombinator.com/item?id=42422285</link><guid isPermaLink="false">urn:hackerpapers:mention:2408.12798:42422285</guid><pubDate>Sun, 15 Dec 2024 08:21:27 GMT</pubDate><description>&lt;p&gt;It’s absolutely possible to put a backdoor into an LLM. https://arxiv.org/abs/2408.12798&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2408.12798/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
