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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metadata-Based Detection of Child Sexual Abuse Material · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2010.02387/</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/2010.02387/feed.xml" rel="self" type="application/rss+xml" /><item><title>Metadata-Based Detection of Child Sexual Abuse Material — mentioned by buran77</title><link>https://news.ycombinator.com/item?id=28076841</link><guid isPermaLink="false">urn:hackerpapers:mention:2010.02387:28076841</guid><pubDate>Thu, 05 Aug 2021 17:29:10 GMT</pubDate><description>&lt;p&gt;Microsoft has been using PhotoDNA [0] to scan OneDrive content for quite some time. The news is that a device manufacturer is doing it on your device with local data. There&amp;#x27;s some MS research to use machine learning on metadata to identify offending material [1]. [0] https://en.wikipedia.org/wiki/PhotoDNA [1] https://arxiv.org/pdf/2010.02387.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2010.02387/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
