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Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch

Summary: (ε,δ)-DP mechanism for Misra‑Gries sketches on streams that adds noise independent of sketch size, achieving error matching best non‑streaming bounds up to constants. Also a simple post‑processing variant yields <2× non‑streaming noise for ε‑DP, improving prior linear‑in‑k noise. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1924
Venue
PODS
Year
2023
Pagerank
7.0723123e-05
Overall Rank
3,854 | 73.56%
DOI
10.1145/3584372.3588673

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lebeda_pods23,
        address = {New York, NY, USA},
        series = {{PODS} '23},
        title = {{Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch}},
        url = {https://dl.acm.org/doi/10.1145/3584372.3588673},
        doi = {10.1145/3584372.3588673},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Lebeda, Christian Janos and Tětek, Jakub},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
451 Mergeable Summaries 2012 PODS 0.00018151445
1,678 Heavy Hitters and the Structure of Local Privacy 2018 PODS 0.00010032135
2,992 Pan-private Algorithms Via Statistics on Sketches 2011 PODS 7.8836024e-05
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