Answering Range Queries Under Local Differential Privacy
Summary: Study of answering 1-dimensional range count queries under Local Differential Privacy (LDP). Develops methods to estimate interval fractions under LDP, enabling privacy-preserving range statistics and downstream quantile computations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tejas Kulkarni (University of Warwick)
BibTeX Citation
@inproceedings{kulkarni_sigmod19,
title = {{Answering Range Queries Under Local Differential Privacy}},
author = {Kulkarni, Tejas},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300102},
url = {https://dl.acm.org/doi/10.1145/3299869.3300102},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,813 | Estimating Numerical Distributions under Local Differential Privacy | 2020 | SIGMOD | 7.9553486e-05 |
| 9,763 | PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy | 2025 | SIGMOD | 5.115551e-05 |
| 9,766 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB | 5.115551e-05 |
| 9,927 | Querying Shared Data with Security Heterogeneity | 2020 | SIGMOD | 5.0974575e-05 |
| 10,544 | HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings | 2026 | SIGMOD | 4.9605343e-05 |
| 10,703 | Defense against Poisoning Attacks under Shuffle-DP | 2026 | SIGMOD | 4.9605343e-05 |
| 10,732 | MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy | 2026 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00030972849 |
| 1,620 | PriView: Practical Differentially Private Release of Marginal Contingency Tables | 2014 | SIGMOD | 0.00010041603 |
| 1,899 | Marginal Release Under Local Differential Privacy | 2018 | SIGMOD | 9.3931147e-05 |
| 2,595 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 8.2260539e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,315 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD |
| 2 | 2,142 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB |
| 3 | 1,343 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB |
| 4 | 629 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS |
| 5 | 9,513 | PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy | 2024 | VLDB |
| 6 | 8,083 | A workload-adaptive mechanism for linear queries under local differential privacy | 2020 | VLDB |
| 7 | 4,233 | Answering Multi-Dimensional Range Queries under Local Differential Privacy | 2021 | VLDB |
| 8 | 2,349 | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy | 2019 | SIGMOD |
| 9 | 1,533 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB |
| 10 | 3,181 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB |