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An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation

Summary: DP-DICE: a differentially private protocol for secure distributed cardinality estimation. It overcomes MPC-FM's lack of differential privacy and heavy compute, delivering large speedups and lower error than state-of-the-art under the same security. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6625
Venue
SIGMOD
Year
2023
Pagerank
5.3058708e-05
Overall Rank
9,191 | 36.95%
DOI
10.1145/3588914

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod23,
        title = {{An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation}},
        author = {Wang, Pinghui and Yang, Chengjin and Xie, Dongdong and Zhao, Junzhou and Li, Hui and Tao, Jing and Guan, Xiaohong},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588914},
        url = {https://dl.acm.org/doi/10.1145/3588914},
        year = {2023}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,516 Cardinality Estimation: An Experimental Survey 2018 VLDB 0.00010520885
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