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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
10174
Venue
VLDB
Year
2011
Pagerank
4.1905499e-05
Overall Rank
12,197 | 15.23%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,120 Aggregate Suppression for Enterprise Search Engines 2012 SIGMOD 4.1905499e-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 0.00074213516
233 Crawling the Hidden Web 2001 VLDB 0.00031996412
1,341 Clustering Categorical Data: An Approach Based on Dynamical Systems 1998 VLDB 0.00012486936
1,853 Information Sharing Across Private Databases 2003 SIGMOD 0.00010323434
2,579 Simulatable Auditing 2005 PODS 8.5010694e-05
2,817 Mining Search Engine Query Logs via Suggestion Sampling 2008 VLDB 8.0695314e-05
8,680 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 4.4634799e-05
9,550 Attribute Domain Discovery for Hidden Web Databases 2011 SIGMOD 4.3216687e-05
12,309 Privacy Preservation of Aggregates in Hidden Databases: Why and How? 2009 SIGMOD 4.1905499e-05
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