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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yupeng Fu (University of California San Diego)
- 2. Raghav Kaushik (Microsoft)
- 3. Ravishankar Ramamurthy (Microsoft)
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}
}
Incoming Citations (Sorted by Pagerank)
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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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