Approximate DBSCAN under Differential Privacy
Summary: Spans-based DP definition for DP-DBSCAN; argues spans aid visualization and classification over labels. Linear-time DP algorithm achieves sandwich quality in constant dimensions with matching lower bounds; includes a pure-DP histogram primitive and validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{qiu_sigmod25,
title = {{Approximate DBSCAN under Differential Privacy}},
author = {Qiu, Yuan and Yi, Ke},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725265},
url = {https://dl.acm.org/doi/10.1145/3725265},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,164 | Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time | 2026 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 962 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012936472 |
| 1,230 | No Free Lunch in Data Privacy | 2011 | SIGMOD | 0.00011572271 |
| 3,854 | Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch | 2023 | PODS | 7.0723123e-05 |
| 5,314 | Optimal Differentially Private Algorithms for k-Means Clustering | 2018 | PODS | 6.2688519e-05 |
| 8,070 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD | 5.4938502e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,992 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS |
| 2 | 10,313 | Differentially Private Explanations for Clusters | 2026 | SIGMOD |
| 3 | 3,234 | RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning | 2018 | SIGMOD |
| 4 | 2,556 | NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data | 2017 | VLDB |
| 5 | 11,387 | Fast Density-Based Clustering: Geometric Approach | 2023 | SIGMOD |
| 6 | 10,195 | Approximate DBSCAN via Density-Biased Sampling and Kernel Density Estimation | 2026 | SIGMOD |
| 7 | 3,020 | Dynamic Density Based Clustering | 2017 | SIGMOD |
| 8 | 5,294 | Theoretically-Efficient and Practical Parallel DBSCAN | 2020 | SIGMOD |
| 9 | 962 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD |
| 10 | 8,070 | Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms | 2024 | SIGMOD |