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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)

Paper ID
he436f30d994b99e8
Venue
SIGMOD
Year
2025
Pagerank
5.3350162e-05
Overall Rank
8,416 | 43.42%
DOI
10.1145/3714333

Incoming Non-self Citations Over Time

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,864 Efficient and Secure Range Counting over Distributed Geographic Data with Query Range Protection 2026 VLDB 4.9793485e-05
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