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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2007.06622/</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/2007.06622/feed.xml" rel="self" type="application/rss+xml" /><item><title>SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems — mentioned by dijksterhuis</title><link>https://news.ycombinator.com/item?id=27716081</link><guid isPermaLink="false">urn:hackerpapers:mention:2007.06622:27716081</guid><pubDate>Fri, 02 Jul 2021 19:57:53 GMT</pubDate><description>&lt;p&gt;The research side of &amp;quot;minimum modifications required&amp;quot; is with not quite there yet [0]. Audio source separation for now is probably the way to go (see other child comment). Although I imagine it would encounter similar problems with &amp;quot;over the air&amp;quot; type environments. Black box transfers require large, audibly noticeable modifications. see &amp;quot;Transfer attacks against YouTube’s Content ID&amp;quot; audio example in [0]. Most work has focused on speech recognition, so see final appendix in [1], the authors of which are currently looking at the problem in more detail (stay tuned for results). Also…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2007.06622/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
