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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
10697
Venue
VLDB
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,094 | 15.87%
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 0.0007857786
561 An Annotation Management System for Relational Databases 2004 VLDB 0.00020115419
940 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015173166
1,083 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014210752
1,106 Provenance for Aggregate Queries 2011 PODS 0.0001398766
2,297 Auditing Compliance with a Hippocratic Database 2004 VLDB 9.0754111e-05
4,570 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.0780779e-05
6,510 Efficient Auditing For Complex SQL queries 2011 SIGMOD 5.0326078e-05
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