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Privacy Preserving Serial Data Publishing By Role Composition

Summary: Introduces HD-composition for privacy-preserving publishing of dynamic serial databases with heterogeneous sensitive-value behavior—freely changing versus permanent attributes, unlike prior unrealistic models. Provides theoretical guarantees and validates the approach experimentally on real data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
heb073f4f673220ed
Venue
VLDB
Year
2008
Pagerank
5.2905577e-05
Overall Rank
8,715 | 41.41%
DOI
10.14778/1453856.1453948

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bu_vldb08,
        title = {{Privacy Preserving Serial Data Publishing By Role Composition}},
        author = {Bu, Yingyi and Fu, Ada Wai Chee and Wong, Raymond Chi Wing and Chen, Lei and Li, Jiuyong},
        journal = {PVLDB},
        series = {{VLDB} '08},
        doi = {10.14778/1453856.1453948},
        url = {https://doi.org/10.14778/1453856.1453948},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
469 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.0001775622
584 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00015954725
1,020 m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets 2007 SIGMOD 0.00012443542
1,323 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00011028542
2,453 Personalized Privacy Preservation 2006 SIGMOD 8.4435151e-05
4,628 Hiding the Presence of Individuals from Shared Databases 2007 SIGMOD 6.4962867e-05
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