Fragments and Loose Associations: Respecting Privacy in Data Publishing
Summary: Data fragmentation to satisfy confidentiality constraints and visibility requests; split sensitive attribute associations while preserving usable views. Broken associations released as sanitized loose associations with a defined privacy level to enable protected publication. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sabrina De Capitani di Vimercati (University of Milan)
- 2. Sara Foresti (University of Milan)
- 3. Sushil Jajodia (George Mason University)
- 4. Stefano Paraboschi (University of Bergamo)
- 5. Pierangela Samarati (University of Milan)
BibTeX Citation
@article{vimercati_vldb10,
title = {{Fragments and Loose Associations: Respecting Privacy in Data Publishing}},
author = {di Vimercati, Sabrina De Capitani and Foresti, Sara and Jajodia, Sushil and Paraboschi, Stefano and Samarati, Pierangela},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
doi = {10.14778/1920841.1921009},
url = {https://doi.org/10.14778/1920841.1921009},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 584 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00015954725 |
| 1,705 | Injecting Utility into Anonymized Datasets | 2006 | SIGMOD | 9.831451e-05 |
| 2,175 | Two Can Keep a Secret: A Distributed Architecture for Secure Database Services | 2005 | CIDR | 8.9159708e-05 |
| 2,486 | Anonymizing Bipartite Graph Data using Safe Groupings | 2008 | VLDB | 8.3991285e-05 |
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