Locating a Small Cluster Privately
Summary: New differentially private algorithm to locate small point clusters, enabling private identification of dense subsets and outlier removal. Relaxes sample-and-aggregate requirements to enable broader conversion of off-the-shelf analyses into differentially private versions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kobbi Nissim
- 2. Uri Stemmer
- 3. Salil Vadhan
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,271 | Differentially Private Vertical Federated Clustering | 2023 | VLDB | 5.9957063e-05 |
| 8,610 | Differentially Private Hierarchical Heavy Hitters | 2024 | PODS | 5.4598872e-05 |
| 9,681 | PCOR: Private Contextual Outlier Release via Differentially Private Search | 2021 | SIGMOD | 5.2933009e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,959 | GUPT: Privacy Preserving Data Analysis Made Easy | 2012 | SIGMOD | 9.4917497e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.0003817449 |
| 265 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00023055086 |
| 3,031 | Frequency Estimation under Local Differential Privacy | 2021 | VLDB | 7.8915228e-05 |
| 3,022 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS | 7.9055062e-05 |
| 5,488 | Practical Differential Privacy via Grouping and Smoothing | 2013 | VLDB | 6.2683092e-05 |
| 10,480 | Approximate DBSCAN under Differential Privacy | 2025 | SIGMOD | 5.1725247e-05 |
| 9,681 | PCOR: Private Contextual Outlier Release via Differentially Private Search | 2021 | SIGMOD | 5.2933009e-05 |
| 12,351 | Distribution-based Microdata Anonymization | 2009 | VLDB | 5.1725247e-05 |
| 10,015 | Differentially Private Explanations for Clusters | 2026 | SIGMOD | 5.1725247e-05 |
| 3,064 | Achieving Anonymity via Clustering | 2006 | PODS | 7.8631496e-05 |