SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage
Summary: Integrates a multi-layer clerical review into privacy-preserving record linkage to adapt the matching algorithm to actual linked data. This yields high linkage quality under privacy-by-design by mitigating blind, parameter-driven tuning typical in PPRL. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Florens Rohde (ScaDS.AI Dresden/Leipzig; University of Leipzig)
- 2. Victor Christen (ScaDS.AI Dresden/Leipzig; University of Leipzig)
- 3. Erhard Rahm (University of Leipzig)
BibTeX Citation
@inproceedings{rohde_sigmod25,
title = {{SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage}},
author = {Rohde, Florens and Christen, Victor and Rahm, Erhard},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725131},
url = {https://dl.acm.org/doi/10.1145/3722212.3725131},
year = {2025}
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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 |
|---|---|---|---|---|
| 2,623 | The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data | 2018 | VLDB | 8.3327284e-05 |
| 13,509 | PRIMAT: A Toolbox for Fast Privacy-preserving Matching | 2019 | VLDB | - |
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