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: 10836
Venue: VLDB
Year: 2013
Pagerank: 5.4119882e-05
Overall Rank: 8,540 | 41.41%
DOI: 10.14778/2536258.2536270

Incoming Non-self Citations Over Time

Authors

1. Theodoros Rekatsinas (University of Maryland)
2. Amol Deshpande (University of Maryland)
3. Ashwin Machanavajjhala (Duke University)

BibTeX Citation

@article{rekatsinas_vldb13,
        title = {{SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries}},
        author = {Rekatsinas, Theodoros and Deshpande, Amol and Machanavajjhala, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        pages = {1594--1605},
        doi = {10.14778/2536258.2536270},
        url = {https://doi.org/10.14778/2536258.2536270},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,258	Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,037	Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge	2007	VLDB
2	9,569	Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms	2020	VLDB
3	10,335	A General Framework for Per-record Differential Privacy	2026	SIGMOD
4	3,232	Privacy-preserving Anonymization of Set-valued Data	2008	VLDB
5	4,732	Optimal Random Perturbation at Multiple Privacy Levels	2009	VLDB
6	9,839	Sypse: Privacy-first Data Management through Pseudonymization and Partitioning	2021	CIDR
7	9,303	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy	2025	SIGMOD
8	9,086	Privacy Preservation by Disassociation	2012	VLDB
9	7,850	Differentially Private Data Release over Multiple Tables	2023	PODS
10	4,531	Distributed Privacy Preserving Information Sharing	2005	VLDB