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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
10885
Venue
VLDB
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,291 | 15.68%
DOI
10.14778/2535573.2535574

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{fu_vldb13,
        title = {{On Scaling Up Sensitive Data Auditing}},
        author = {Fu, Yupeng and Kaushik, Raghav and Ramamurthy, Ravishankar},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {5},
        pages = {313--324},
        doi = {10.14778/2535573.2535574},
        url = {https://doi.org/10.14778/2535573.2535574},
        year = {2013}
}

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Outgoing Citations (Sorted by Pagerank)

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
17 Provenance Semirings 2007 PODS 0.00059843817
531 An Annotation Management System for Relational Databases 2004 VLDB 0.00017083233
670 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015157572
806 Provenance for Aggregate Queries 2011 PODS 0.00013890398
1,088 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00012248135
2,107 Auditing Compliance with a Hippocratic Database 2004 VLDB 9.1554362e-05
4,159 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.8626218e-05
6,705 Efficient Auditing For Complex SQL queries 2011 SIGMOD 5.7970786e-05
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