LinkIT: Privacy Preserving Record Linkage and Integration via Transformations
Summary: Open-source LinkIT for privacy-preserving record linkage and integration via data transformations; usable with FRIL or as a standalone string-linker. Introduces a novel embedding using frequent variable-length grams with differential privacy and a personalized linkage threshold, offering stronger privacy and scalability with utility similar to state-of-the-art secure transformations. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Luca Bonomi
- 2. Li Xiong
- 3. James J. Lu
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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 |
|---|---|---|---|---|
| 2,193 | Cost-Based Variable-Length-Gram Selection for String Collections to Support Approximate Queries Efficiently | 2008 | SIGMOD | 9.3178557e-05 |
| 4,537 | Privacy Preserving Schema and Data Matching | 2007 | SIGMOD | 6.1042536e-05 |
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