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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Leakage from Gradients · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1906.08935/</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/1906.08935/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Leakage from Gradients — mentioned by janhenr</title><link>https://news.ycombinator.com/item?id=23157581</link><guid isPermaLink="false">urn:hackerpapers:mention:1906.08935:23157581</guid><pubDate>Tue, 12 May 2020 18:17:58 GMT</pubDate><description>&lt;p&gt;Check out Han Song&amp;#x27;s (MIT, most well-known for NN compression) Lab new paper on gradient leaking and follow-up work. https://arxiv.org/abs/1906.08935 I attended a talk by him recently and was very impressed by the work of his lab in this area.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1906.08935/"&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>
