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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
4486
Venue
SIGMOD
Year
2011
Pagerank
5.7970786e-05
Overall Rank
6,705 | 54.00%
DOI
10.1145/1989323.1989396

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kaushik_sigmod11,
        title = {{Efficient Auditing For Complex SQL queries}},
        author = {Kaushik, Raghav and Ramamurthy, Ravi},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989396},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989396},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
3,105 Explanation-Based Auditing 2012 VLDB 7.7528586e-05
3,827 Automatic Enforcement of Data Use Policies with DataLawyer 2015 SIGMOD 7.0909359e-05
12,223 Stop That Query! The Need for Managing Data Use 2013 CIDR 5.093636e-05
12,248 The Power of Data Use Management in Action 2013 SIGMOD 5.093636e-05
12,291 On Scaling Up Sensitive Data Auditing 2013 VLDB 5.093636e-05
12,391 Whodunit: An Auditing Tool for Detecting Data Breaches 2011 VLDB 5.093636e-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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