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)
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Authors
- 1. Pinghui Wang
- 2. Chengjin Yang
- 3. Dongdong Xie
- 4. Junzhou Zhao
- 5. Hui Li
- 6. Jing Tao
- 7. Xiaohong Guan
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,012 | A Fast, Mergeable, and LDP Compatible Sketch for Counting the Number of Distinct Values in Fully Dynamic Tables | 2026 | SIGMOD | 4.1945683e-05 |
| 10,480 | Efficient and Accurate Differentially Private Cardinality Continual Releases | 2025 | SIGMOD | 4.1945683e-05 |
| 10,946 | An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities | 2024 | SIGMOD | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 1,683 | Cardinality Estimation: An Experimental Survey | 2018 | VLDB | 0.00010922679 |
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