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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Differential Privacy Has Disparate Impact on Model Accuracy · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.12101/</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/1905.12101/feed.xml" rel="self" type="application/rss+xml" /><item><title>Differential Privacy Has Disparate Impact on Model Accuracy — mentioned by manux</title><link>https://news.ycombinator.com/item?id=26241017</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.12101:26241017</guid><pubDate>Tue, 23 Feb 2021 18:40:49 GMT</pubDate><description>&lt;p&gt;&amp;gt; It&amp;#x27;s very easy to build a fair image recognition system by representing all demographics. I wish it was easy. Unfortunately, reality is more complicated, as it tends to be [1,2,3,4]. [1] https://arxiv.org/abs/2010.03058 [2] https://arxiv.org/abs/1911.05248 [3] https://arxiv.org/abs/2008.11600 [4] https://arxiv.org/abs/1905.12101 &amp;gt; Some AI ethics researchers cherry pick on those mistakes to justify their entire research. This is a weird statement. This is like saying police cherry pick on criminals to justify their existence. Do you not believe in harm reduction? Don&amp;#x27;t you think some part of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.12101/"&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>
