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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Audio Adversarial Examples: Targeted Attacks on Speech-to-Text · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1801.01944/</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/1801.01944/feed.xml" rel="self" type="application/rss+xml" /><item><title>Audio Adversarial Examples: Targeted Attacks on Speech-to-Text — mentioned by dijksterhuis</title><link>https://news.ycombinator.com/item?id=38917998</link><guid isPermaLink="false">urn:hackerpapers:mention:1801.01944:38917998</guid><pubDate>Mon, 08 Jan 2024 20:58:03 GMT</pubDate><description>&lt;p&gt;Decent write up :+1: Recommend reading on the topic - Biggio &amp;amp; Rolia &amp;quot;Wild Patterns&amp;quot; review paper for the thorough security perspective (and historical accuracy cough): https://arxiv.org/pdf/1712.03141.pdf - Carlini &amp;amp; Wagner attack a.k.a. the gold standard of adversarial machine learning research papers: https://arxiv.org/abs/1608.04644 - Carlini &amp;amp; Wagner speech-to-text attack (attacks can be re-used across multiple domains): https://arxiv.org/pdf/1801.01944.pdf - Barreno et al &amp;quot;Can Machine Learning Be Secure?&amp;quot; https://people.eecs.berkeley.edu/~tygar/papers/Machine_Learn... Some videos [0]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1801.01944/"&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>Audio Adversarial Examples: Targeted Attacks on Speech-to-Text — HN submission</title><link>https://news.ycombinator.com/item?id=16220376</link><guid isPermaLink="false">urn:hackerpapers:submission:1801.01944:16220376</guid><pubDate>Wed, 24 Jan 2018 04:44:15 GMT</pubDate><description>&lt;p&gt;Audio Adversarial Examples: Targeted Attacks on Speech-To-Text&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;64 points; 17 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1801.01944/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Audio Adversarial Examples: Targeted Attacks on Speech-to-Text — HN submission</title><link>https://news.ycombinator.com/item?id=16137392</link><guid isPermaLink="false">urn:hackerpapers:submission:1801.01944:16137392</guid><pubDate>Sat, 13 Jan 2018 00:02:39 GMT</pubDate><description>&lt;p&gt;Targeted Attacks on Speech-to-Text [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1801.01944/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Audio Adversarial Examples: Targeted Attacks on Speech-to-Text — HN submission</title><link>https://news.ycombinator.com/item?id=16122331</link><guid isPermaLink="false">urn:hackerpapers:submission:1801.01944:16122331</guid><pubDate>Thu, 11 Jan 2018 08:47:45 GMT</pubDate><description>&lt;p&gt;Audio Adversarial Examples: Targeted Attacks on Speech-To-Text&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1801.01944/"&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>
