Randomizing, a Practical Method for Protecting Statistical Databases Against Compromise

Summary: Introduces “randomizing,” a practical inference-protection method for statistical databases that is conceptually simple, inexpensive, and maintenance-free. Unlike conventional sampling-based approaches, it applies uniformly from small and medium-sized to large databases. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 7740
Venue: VLDB
Year: 1982
Pagerank: 6.5286784e-05
Overall Rank: 4,738 | 67.50%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Ernst Leiss (University of Houston)

BibTeX Citation

@article{leiss_vldb82,
        title = {{Randomizing, a Practical Method for Protecting Statistical Databases Against Compromise}},
        author = {Leiss, Ernst},
        journal = {PVLDB},
        series = {{VLDB} '82},
        pages = {189},
        year = {1982}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
510	Practical Privacy: The SuLQ Framework	2005	PODS	0.00017220509

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

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