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 |
|---|---|---|---|---|
| 2,804 | Estimating Numerical Distributions under Local Differential Privacy | 2020 | SIGMOD | 7.9817412e-05 |
| 9,731 | PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy | 2025 | SIGMOD | 5.1325223e-05 |
| 9,734 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB | 5.1325223e-05 |
| 9,893 | Querying Shared Data with Security Heterogeneity | 2020 | SIGMOD | 5.1142741e-05 |
| 10,478 | HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings | 2026 | SIGMOD | 4.9769913e-05 |
| 10,642 | Defense against Poisoning Attacks under Shuffle-DP | 2026 | SIGMOD | 4.9769913e-05 |
| 10,671 | MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy | 2026 | SIGMOD | 4.9769913e-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 | 0.0003107472 |
| 1,610 | PriView: Practical Differentially Private Release of Marginal Contingency Tables | 2014 | SIGMOD | 0.00010074806 |
| 1,889 | Marginal Release Under Local Differential Privacy | 2018 | SIGMOD | 9.4242478e-05 |
| 2,586 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 8.2533446e-05 |
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|---|---|---|---|---|
| 1 | 2,301 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD |
| 2 | 2,129 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB |
| 3 | 1,331 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB |
| 4 | 626 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS |
| 5 | 9,484 | PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy | 2024 | VLDB |
| 6 | 8,067 | A workload-adaptive mechanism for linear queries under local differential privacy | 2020 | VLDB |
| 7 | 4,216 | Answering Multi-Dimensional Range Queries under Local Differential Privacy | 2021 | VLDB |
| 8 | 2,338 | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy | 2019 | SIGMOD |
| 9 | 1,530 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB |
| 10 | 3,177 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB |