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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2405.16719/</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/2405.16719/feed.xml" rel="self" type="application/rss+xml" /><item><title>Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems — mentioned by striking</title><link>https://news.ycombinator.com/item?id=40971919</link><guid isPermaLink="false">urn:hackerpapers:mention:2405.16719:40971919</guid><pubDate>Mon, 15 Jul 2024 22:15:00 GMT</pubDate><description>&lt;p&gt;You can&amp;#x27;t reference Claude Shannon and information theory and then say a system to serve ads that preserves privacy can&amp;#x27;t exist. It&amp;#x27;s especially ironic because they use a technique called Differential Privacy to prevent any actual bits of information from being leaked to advertisers: https://andrewmoore.ca/blog/post/mozilla-ppa/#user-content-f... / https://arxiv.org/pdf/2405.16719&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2405.16719/"&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>
