Efficient and Accurate Differentially Private Cardinality Continual Releases
Summary: Introduces FC, a differentially private continual-cardinality framework combining an efficient estimator with privacy mechanisms for real-time continual releases under low memory. Empirical results show up to 504× memory reduction with comparable accuracy, and order-of-magnitude accuracy gains under the same budget. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Dongdong Xie (Ant Financial; Xi'an Jiaotong University)
- 2. Pinghui Wang (Xi'an Jiaotong University)
- 3. Quanqing Xu (Ant Financial)
- 4. Chuanhui Yang (Ant Financial)
- 5. Rundong Li (Xi'an Jiaotong University)
BibTeX Citation
@inproceedings{xie_sigmod25,
title = {{Efficient and Accurate Differentially Private Cardinality Continual Releases}},
author = {Xie, Dongdong and Wang, Pinghui and Xu, Quanqing and Yang, Chuanhui and Li, Rundong},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725288},
url = {https://dl.acm.org/doi/10.1145/3725288},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,615 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00030972849 |
| 123 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00030654879 |
| 1,534 | Cardinality Estimation: An Experimental Survey | 2018 | VLDB | 0.00010309919 |
| 2,595 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 8.2260539e-05 |
| 2,824 | OceanBase: A 707 Million tpmC Distributed Relational Database System | 2022 | VLDB | 7.9511637e-05 |
| 8,351 | Continual Observation of Joins under Differential Privacy | 2024 | SIGMOD | 5.3325743e-05 |
| 9,406 | An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation | 2023 | SIGMOD | 5.1672232e-05 |
| 9,745 | OceanBase Paetica: A Hybrid Shared-nothing/Shared-everything Database for Supporting Single Machine and Distributed Cluster | 2023 | VLDB | 5.1180512e-05 |
| 11,567 | An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities | 2024 | SIGMOD | 4.9605343e-05 |
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