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On Scaling Up Sensitive Data Auditing

Summary: Problem: given a query and millions of sensitive records, extract the records accessed by the query. Introduces scalable, general-purpose techniques for complex SQL, outperforming naive methods by orders of magnitude; evaluated on TPC-H. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10698
Venue
VLDB
Year
2013
Pagerank
4.1905499e-05
Overall Rank
12,102 | 15.90%
DOI
-

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
31 Provenance Semirings 2007 PODS 0.00078516827
561 An Annotation Management System for Relational Databases 2004 VLDB 0.00020099434
934 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015201246
1,082 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014196516
1,106 Provenance for Aggregate Queries 2011 PODS 0.00013976386
2,303 Auditing Compliance with a Hippocratic Database 2004 VLDB 9.0661151e-05
4,569 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.0721066e-05
6,504 Efficient Auditing For Complex SQL queries 2011 SIGMOD 5.0283716e-05
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