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Randomized Generalization for Aggregate Suppression Over Hidden Web Databases

Summary: Proposes randomized generalization to suppress SUM and COUNT queries over hidden web databases with form-like interfaces. Provides rigid aggregate-suppression guarantees against attacks estimating sums without uniform sampling, supported by theory and extensive experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10173
Venue
VLDB
Year
2011
Pagerank
4.1945683e-05
Overall Rank
12,189 | 15.21%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,112 Aggregate Suppression for Enterprise Search Engines 2012 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 Privacy-Preserving Data Mining 2000 SIGMOD 0.00074232718
234 Crawling the Hidden Web 2001 VLDB 0.00032018108
1,336 Clustering Categorical Data: An Approach Based on Dynamical Systems 1998 VLDB 0.00012498064
1,862 Information Sharing Across Private Databases 2003 SIGMOD 0.00010286859
2,577 Simulatable Auditing 2005 PODS 8.5099821e-05
2,813 Mining Search Engine Query Logs via Suggestion Sampling 2008 VLDB 8.0773142e-05
8,684 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 4.4677591e-05
9,549 Attribute Domain Discovery for Hidden Web Databases 2011 SIGMOD 4.3258142e-05
12,301 Privacy Preservation of Aggregates in Hidden Databases: Why and How? 2009 SIGMOD 4.1945683e-05
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