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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CryptoDL: Deep Neural Networks over Encrypted Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.05189/</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/1711.05189/feed.xml" rel="self" type="application/rss+xml" /><item><title>CryptoDL: Deep Neural Networks over Encrypted Data — mentioned by cromwellian</title><link>https://news.ycombinator.com/item?id=19945412</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05189:19945412</guid><pubDate>Sat, 18 May 2019 03:29:56 GMT</pubDate><description>&lt;p&gt;This is not the way it works at all (see Secure Aggregation). There are a number of techniques out there that permit privacy safe services and learning, like Differential Privacy, Federated Learning, and there&amp;#x27;s even Deep Neural Nets using homomorphic computing (e.g. https://arxiv.org/abs/1711.05189) How about we lay off the conspiracy theories every time any new paper is published.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05189/"&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>
