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Efficient Auditing For Complex SQL queries

Summary: Auditing arbitrary SQL queries (grouping, aggregation, correlated subqueries) to yield an audit trail of potentially sensitive access. Examines privacy-utility trade-offs and proposes scalable auditing techniques for complex queries beyond prior privacy-centric work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4425
Venue
SIGMOD
Year
2011
Pagerank
5.0283716e-05
Overall Rank
6,504 | 54.80%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
3,248 Explanation-Based Auditing 2012 VLDB 7.3232501e-05
3,590 Automatic Enforcement of Data Use Policies with DataLawyer 2015 SIGMOD 6.9376243e-05
12,034 Stop That Query! The Need for Managing Data Use 2013 CIDR 4.1905499e-05
12,058 The Power of Data Use Management in Action 2013 SIGMOD 4.1905499e-05
12,102 On Scaling Up Sensitive Data Auditing 2013 VLDB 4.1905499e-05
12,204 Whodunit: An Auditing Tool for Detecting Data Breaches 2011 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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