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Functional Mechanism: Regression Analysis under Differential Privacy

Summary: Introduces the Functional Mechanism, enforcing ε-differential privacy by perturbing an optimization objective rather than regression outputs. Supports linear and logistic regression, with theory and experiments showing improved accuracy and efficiency over prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10561
Venue
VLDB
Year
2012
Pagerank
6.3003629e-05
Overall Rank
5,248 | 64.00%
DOI
10.14778/2350229.2350253

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb12,
        title = {{Functional Mechanism: Regression Analysis under Differential Privacy}},
        author = {Zhang, Jun and Zhang, Zhenjie and Xiao, Xiaokui and Yang, Yin and Winslett, Marianne},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1361--1372},
        doi = {10.14778/2350229.2350253},
        url = {https://doi.org/10.14778/2350229.2350253},
        year = {2012}
}

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