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)
Incoming Non-self Citations Over Time
Authors
- 1. Christian Janos Lebeda (Basic Algorithms Research Copenhagen; IT University of Copenhagen)
- 2. Jakub Tětek (Basic Algorithms Research Copenhagen; University of Copenhagen)
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)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,642 | Approximate DBSCAN under Differential Privacy | 2025 | SIGMOD | 5.4772833e-05 |
| 7,992 | Differentially Private Hierarchical Heavy Hitters | 2024 | PODS | 5.4115836e-05 |
| 10,375 | Improved Lower Bounds for Privacy under Continual Release | 2026 | PODS | 4.9793485e-05 |
| 10,381 | Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time | 2026 | PODS | 4.9793485e-05 |
| 11,090 | Private Synthetic Data Generation in Bounded Memory | 2025 | PODS | 4.9793485e-05 |
| 11,471 | Streaming Algorithms with Few State Changes | 2024 | PODS | 4.9793485e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 456 | Mergeable Summaries | 2012 | PODS | 0.0001791284 |
| 1,715 | Heavy Hitters and the Structure of Local Privacy | 2018 | PODS | 9.807288e-05 |
| 3,050 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS | 7.7067158e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,628 | Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming | 2022 | VLDB |
| 2 | 11,090 | Private Synthetic Data Generation in Bounded Memory | 2025 | PODS |
| 3 | 5,636 | Practical Differential Privacy via Grouping and Smoothing | 2013 | VLDB |
| 4 | 1,324 | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions | 2016 | SIGMOD |
| 5 | 7,694 | Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory | 2024 | SIGMOD |
| 6 | 7,992 | Differentially Private Hierarchical Heavy Hitters | 2024 | PODS |
| 7 | 3,050 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS |
| 8 | 2,929 | Privacy via Pseudorandom Sketches | 2006 | PODS |
| 9 | 11,510 | An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities | 2024 | SIGMOD |
| 10 | 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB |