Modern Dynamic Data Structures (Invited Talk)

Author Monika Henzinger



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Monika Henzinger
  • University of Vienna, Department of Computer Science, Vienna, Austria

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Monika Henzinger. Modern Dynamic Data Structures (Invited Talk). In 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 241, pp. 2:1-2:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.MFCS.2022.2

Abstract

We give an overview of differentially private dynamic data structure, aka differentially private algorithms under continual release.

Subject Classification

ACM Subject Classification
  • Theory of computation → Design and analysis of algorithms
Keywords
  • Differential privacy
  • data structures

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References

  1. T.-H. Hubert Chan, Elaine Shi, and Dawn Song. Private and continual release of statistics. ACM Trans. Inf. Syst. Secur., 14(3):26:1-26:24, 2011. URL: https://doi.org/10.1145/2043621.2043626.
  2. Sergey Denisov, Brendan McMahan, Keith Rush, Adam Smith, and Abhradeep Thakurta. Improved differential privacy for sgd via optimal private linear operators on adaptive streams. arXiv preprint, 2022. URL: http://arxiv.org/abs/2202.08312.
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  7. Hendrik Fichtenberger, Monika Henzinger, and Jalaj Upadhyay. Constant matters: Fine-grained complexity of differentially private continual observation using completely bounded norms. arXiv preprint, 2022. URL: http://arxiv.org/abs/2202.11205.
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