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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)

Paper ID
10262
Venue
VLDB
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,468 | 14.46%
DOI
10.14778/1920841.1921009

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Authors

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}
}

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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
572 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00016316092
1,669 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00010050522
2,133 Two Can Keep a Secret: A Distributed Architecture for Secure Database Services 2005 CIDR 9.1164075e-05
2,430 Anonymizing Bipartite Graph Data using Safe Groupings 2008 VLDB 8.5885381e-05
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