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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1907.11932/</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/1907.11932/feed.xml" rel="self" type="application/rss+xml" /><item><title>Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment — mentioned by meiji163</title><link>https://news.ycombinator.com/item?id=29381096</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.11932:29381096</guid><pubDate>Mon, 29 Nov 2021 15:43:33 GMT</pubDate><description>&lt;p&gt;Language models have the same defect - they are quite brittle and susceptible to black-box adversarial attacks ( eg arxiv.org/abs/1907.11932 )&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.11932/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
