U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation
Summary: U-DPAP: first DP-only privacy-preserving scheme for range counting in spatial data federations (no SMC). Proposes grouping-based perturbation and representative-silo selection to optimize privacy-utility and efficiency-utility, with formal guarantees and empirical gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yahong Chen (Central China Normal University)
- 2. Xiaoyi Pang (Hong Kong University of Science and Technology)
- 3. Xiaoguang Li (Xidian University)
- 4. Hanyi Wang (China Mobile)
- 5. Ben Niu (Chinese Academy of Science)
- 6. Shengnan Hu (Central China Normal University)
BibTeX Citation
@inproceedings{chen_sigmod25,
title = {{U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation}},
author = {Chen, Yahong and Pang, Xiaoyi and Li, Xiaoguang and Wang, Hanyi and Niu, Ben and Hu, Shengnan},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3714333},
url = {https://dl.acm.org/doi/10.1145/3714333},
year = {2025}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 182 | Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases | 1991 | VLDB | 0.00026367971 |
| 307 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.00021792475 |
| 1,067 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012327784 |
| 1,175 | Simba: Efficient In-Memory Spatial Analytics | 2016 | SIGMOD | 0.00011812263 |
| 1,906 | GUPT: Privacy Preserving Data Analysis Made Easy | 2012 | SIGMOD | 9.5020196e-05 |
| 1,984 | Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations | 2019 | VLDB | 9.3540912e-05 |
| 2,780 | A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing | 2014 | VLDB | 8.1294906e-05 |
| 5,581 | Subgraph Matching over Graph Federation | 2022 | VLDB | 6.1624715e-05 |
| 5,714 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 6.1117296e-05 |
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