SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries

Summary: SPARSI presents privacy-aware data partitioning: distribute sensitive data among k non-colluding adversaries to maximize utility while minimizing disclosure. A hypergraph model encodes interdependencies of private information; NP-hard in general, with relaxations and a local-search algorithm; evaluated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10648
Venue: VLDB
Year: 2013
Pagerank: 4.5435639e-05
Overall Rank: 8,304 | 42.24%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank
11,050	Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data	2024	VLDB	4.1945683e-05

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