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Answering Range Queries Under Local Differential Privacy

Summary: Introduces hierarchical-histogram and Haar-wavelet methods for range queries under local differential privacy, where users perturb data before aggregation. Provides variance guarantees and shows wavelets excel at high privacy, while hierarchies win under weaker privacy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12000
Venue
VLDB
Year
2019
Pagerank
7.7357038e-05
Overall Rank
3,121 | 78.59%
DOI
10.14778/3339490.3339496

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BibTeX Citation

@article{cormode_vldb19,
        title = {{Answering Range Queries Under Local Differential Privacy}},
        author = {Cormode, Graham and Kulkarni, Tejas and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {10},
        pages = {1126--1138},
        doi = {10.14778/3339490.3339496},
        url = {https://doi.org/10.14778/3339490.3339496},
        year = {2019}
}

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