Database Paper Browser

Back to papers

Privacy Preserving Serial Data Publishing By Role Composition

Summary: Privacy-preserving serial data publishing in dynamic databases; existing work assumes all sensitive values change, which is often false. HD-composition models mixed-change attributes (temporary vs permanent) and delivers theory + real-data experiments validating its effectiveness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9719
Venue
VLDB
Year
2008
Pagerank
4.5435639e-05
Overall Rank
8,312 | 42.18%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

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
455 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00022717354
634 m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets 2007 SIGMOD 0.00018895628
654 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00018613167
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012281313
2,682 Personalized Privacy Preservation 2006 SIGMOD 8.3202837e-05
4,790 Hiding the Presence of Individuals from Shared Databases 2007 SIGMOD 5.9192267e-05
Previous Page 1 / 1 Next

Semantically Similar Papers