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SPAS: Continuous Release of Data Streams under w-Event Differential Privacy

Summary: SPAS enables continuous data release under w-event DP with data-dependent sliding-window publishing, reducing error. It uses a weighted sparse-vector technique to adapt sampling and budget, enabling release and range queries on diverse streams. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7147
Venue
SIGMOD
Year
2025
Pagerank
5.289545e-05
Overall Rank
9,303 | 36.18%
DOI
10.1145/3714420

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod25,
        title = {{SPAS: Continuous Release of Data Streams under w-Event Differential Privacy}},
        author = {Li, Xiaochen and Li, Tianyu and Cheng, Yitian and Gong, Chen and Ren, Kui and Qin, Zhan and Wang, Tianhao},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3714420},
        url = {https://dl.acm.org/doi/10.1145/3714420},
        year = {2025}
}

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