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<titleInfo><title>Private counting of distinct elements in the turnstile model and extensions</title></titleInfo>

  
  
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<name type="personal">
  <namePart type="given">Monika H</namePart>
  <namePart type="family">Henzinger</namePart>
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<name type="personal">
  <namePart type="given">A. R.</namePart>
  <namePart type="family">Sricharan</namePart>
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<name type="personal">
  <namePart type="given">Teresa Anna</namePart>
  <namePart type="family">Steiner</namePart>
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  <namePart>APPROX: Conference on Approximation Algorithms for Combinatorial Optimization Problems</namePart>
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<abstract lang="eng">Privately counting distinct elements in a stream is a fundamental data analysis problem with many applications in machine learning. In the turnstile model, Jain et al. [NeurIPS2023] initiated the study of this problem parameterized by the maximum flippancy of any element, i.e., the number of times that the count of an element changes from 0 to above 0 or vice versa. They give an item-level (ε,δ)-differentially private algorithm whose additive error is tight with respect to that parameterization. In this work, we show that a very simple algorithm based on the sparse vector technique achieves a tight additive error for item-level (ε,δ)-differential privacy and item-level ε-differential privacy with regards to a different parameterization, namely the sum of all flippancies. Our second result is a bound which shows that for a large class of algorithms, including all existing differentially private algorithms for this problem, the lower bound from item-level differential privacy extends to event-level differential privacy. This partially answers an open question by Jain et al. [NeurIPS2023].</abstract>

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<originInfo><publisher>Schloss Dagstuhl - Leibniz-Zentrum für Informatik</publisher><dateIssued encoding="w3cdtf">2024</dateIssued><place><placeTerm type="text">London, United Kingdom</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>International Conference on Approximation Algorithms for Combinatorial Optimization Problems </title></titleInfo>
  <identifier type="issn">1868-8969</identifier>
  <identifier type="isbn">9783959773485</identifier>
  <identifier type="arXiv">2408.11637</identifier>
  <identifier type="ISI">001545634500040</identifier><identifier type="doi">10.4230/LIPIcs.APPROX/RANDOM.2024.40</identifier>
<part><detail type="volume"><number>317</number></detail>
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<ama>Henzinger M, Sricharan AR, Steiner TA. Private counting of distinct elements in the turnstile model and extensions. In: &lt;i&gt;International Conference on Approximation Algorithms for Combinatorial Optimization Problems &lt;/i&gt;. Vol 317. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2024. doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&quot;&gt;10.4230/LIPIcs.APPROX/RANDOM.2024.40&lt;/a&gt;</ama>
<ieee>M. Henzinger, A. R. Sricharan, and T. A. Steiner, “Private counting of distinct elements in the turnstile model and extensions,” in &lt;i&gt;International Conference on Approximation Algorithms for Combinatorial Optimization Problems &lt;/i&gt;, London, United Kingdom, 2024, vol. 317.</ieee>
<apa>Henzinger, M., Sricharan, A. R., &amp;#38; Steiner, T. A. (2024). Private counting of distinct elements in the turnstile model and extensions. In &lt;i&gt;International Conference on Approximation Algorithms for Combinatorial Optimization Problems &lt;/i&gt; (Vol. 317). London, United Kingdom: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&quot;&gt;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&lt;/a&gt;</apa>
<ista>Henzinger M, Sricharan AR, Steiner TA. 2024. Private counting of distinct elements in the turnstile model and extensions. International Conference on Approximation Algorithms for Combinatorial Optimization Problems . APPROX: Conference on Approximation Algorithms for Combinatorial Optimization Problems, LIPIcs, vol. 317, 40.</ista>
<chicago>Henzinger, Monika, A. R. Sricharan, and Teresa Anna Steiner. “Private Counting of Distinct Elements in the Turnstile Model and Extensions.” In &lt;i&gt;International Conference on Approximation Algorithms for Combinatorial Optimization Problems &lt;/i&gt;, Vol. 317. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&quot;&gt;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&lt;/a&gt;.</chicago>
<mla>Henzinger, Monika, et al. “Private Counting of Distinct Elements in the Turnstile Model and Extensions.” &lt;i&gt;International Conference on Approximation Algorithms for Combinatorial Optimization Problems &lt;/i&gt;, vol. 317, 40, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40&quot;&gt;10.4230/LIPIcs.APPROX/RANDOM.2024.40&lt;/a&gt;.</mla>
<short>M. Henzinger, A.R. Sricharan, T.A. Steiner, in:, International Conference on Approximation Algorithms for Combinatorial Optimization Problems , Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.</short>
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