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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Poisoning Web-Scale Training Datasets is Practical · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2302.10149/</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/2302.10149/feed.xml" rel="self" type="application/rss+xml" /><item><title>Poisoning Web-Scale Training Datasets is Practical — mentioned by Terr_</title><link>https://news.ycombinator.com/item?id=43430708</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.10149:43430708</guid><pubDate>Fri, 21 Mar 2025 00:41:35 GMT</pubDate><description>&lt;p&gt;&amp;gt; LLMs are already trained on a lot of dubious sources (for example Quora and Reddit) There&amp;#x27;s a very big difference between crawling documents where people happen to say something wrong (e.g. &amp;quot;Tortoises are amphibians&amp;quot;) versus the impact of widespread poisoning [0] or indirect prompt injection. [1] [0] https://arxiv.org/html/2302.10149v2 [1] https://cetas.turing.ac.uk/publications/indirect-prompt-inje...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.10149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>Poisoning Web-Scale Training Datasets is Practical — mentioned by Blahah</title><link>https://news.ycombinator.com/item?id=36190136</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.10149:36190136</guid><pubDate>Sun, 04 Jun 2023 22:20:30 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/2302.10149 maybe&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.10149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>Poisoning Web-Scale Training Datasets is Practical — mentioned by PaulHoule</title><link>https://news.ycombinator.com/item?id=35452218</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.10149:35452218</guid><pubDate>Wed, 05 Apr 2023 11:13:41 GMT</pubDate><description>&lt;p&gt;see https://arxiv.org/abs/2302.10149&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.10149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>Poisoning Web-Scale Training Datasets is Practical — HN submission</title><link>https://news.ycombinator.com/item?id=34889336</link><guid isPermaLink="false">urn:hackerpapers:submission:2302.10149:34889336</guid><pubDate>Tue, 21 Feb 2023 23:36:41 GMT</pubDate><description>&lt;p&gt;Poisoning web-scale training datasets is practical&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;171 points; 94 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2302.10149/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>Poisoning Web-Scale Training Datasets is Practical — HN submission</title><link>https://news.ycombinator.com/item?id=34880070</link><guid isPermaLink="false">urn:hackerpapers:submission:2302.10149:34880070</guid><pubDate>Tue, 21 Feb 2023 12:00:47 GMT</pubDate><description>&lt;p&gt;Poisoning Web-Scale Training Datasets Is Practical&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2302.10149/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
