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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The 2020 Census Disclosure Avoidance System TopDown Algorithm · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2204.08986/</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/2204.08986/feed.xml" rel="self" type="application/rss+xml" /><item><title>The 2020 Census Disclosure Avoidance System TopDown Algorithm — mentioned by flowercalled</title><link>https://news.ycombinator.com/item?id=48771308</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.08986:48771308</guid><pubDate>Fri, 03 Jul 2026 05:53:37 GMT</pubDate><description>&lt;p&gt;(1) &amp;quot;A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census&amp;quot; https://arxiv.org/pdf/2312.11283 (2) By adding carefully tuned Gaussian noise. In the last 6 years we have also figured out how to add much less Gaussian noise: &amp;quot;The 2020 Census Disclosure Avoidance System TopDown Algorithm&amp;quot; https://arxiv.org/abs/2204.08986 (3) This one is harder to answer, since the Census Bureau aimed to release the same style of statistics as in previous decades. So the goal of 2020 was to release the same statistics with the same error bounds. Evidence suggests they succeeded in doing…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.08986/"&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>
