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Saibot: A Differentially Private Data Search Platform

Summary: Saibot enables differentially private task-based dataset search by privatizing reusable factorized semiring statistics once, avoiding budget exhaustion from repeated ML evaluations. Specialized join sensitivity and noise allocation retain 50–90% of nonprivate search accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13333
Venue
VLDB
Year
2023
Pagerank
5.5181056e-05
Overall Rank
7,914 | 45.71%
DOI
10.14778/3611479.3611508

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{huang_vldb23,
        title = {{Saibot: A Differentially Private Data Search Platform}},
        author = {Huang, Zezhou and Liu, Jiaxiang and Alabi, Daniel Gbenga and Fernandez, Raul Castro and Wu, Eugene},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {11},
        pages = {3057--3070},
        doi = {10.14778/3611479.3611508},
        url = {https://doi.org/10.14778/3611479.3611508},
        year = {2023}
}

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