Towards Robustness in Query Auditing
Summary: Develops efficient online auditors for max and mixed max/min aggregate queries under partial and full disclosure, using probabilistic inference for partial disclosure. Introduces utility analysis for auditing, showing sum-query auditing can preserve answers with few denials on large databases. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shubha U. Nabar (Stanford University)
- 2. Bhaskara Marthi (University of California Berkeley)
- 3. Krishnaram Kenthapadi (Stanford University)
- 4. Nina Mishra (University of Virginia)
- 5. Rajeev Motwani (Stanford University)
BibTeX Citation
@article{nabar_vldb06,
title = {{Towards Robustness in Query Auditing}},
author = {Nabar, Shubha U. and Marthi, Bhaskara and Kenthapadi, Krishnaram and Mishra, Nina and Motwani, Rajeev},
journal = {PVLDB},
series = {{VLDB} '06},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,935 | Output Perturbation with Query Relaxation | 2008 | VLDB | 7.0083453e-05 |
| 3,974 | Epistemic Privacy | 2008 | PODS | 6.9803508e-05 |
| 5,499 | MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications | 2012 | SIGMOD | 6.1972571e-05 |
| 9,001 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 5.334788e-05 |
| 9,487 | Preservation of Proximity Privacy in Publishing Numerical Sensitive Data | 2008 | SIGMOD | 5.2634238e-05 |
| 12,301 | The Power of the Dinur-Nissim Algorithm: Breaking Privacy of Statistical and Graph Databases | 2012 | PODS | 5.093636e-05 |
| 12,309 | Aggregate Suppression for Enterprise Search Engines | 2012 | SIGMOD | 5.093636e-05 |
| 12,495 | Privacy Preservation of Aggregates in Hidden Databases: Why and How? | 2009 | SIGMOD | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 70 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.0003804755 |
| 123 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00031082693 |
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
| 510 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00017220509 |
| 1,074 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.0001230007 |
| 2,107 | Auditing Compliance with a Hippocratic Database | 2004 | VLDB | 9.1554362e-05 |
| 2,401 | Simulatable Auditing | 2005 | PODS | 8.6299652e-05 |
| 2,862 | Privacy via Pseudorandom Sketches | 2006 | PODS | 8.0209471e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,760 | Integrity Auditing of Outsourced Data | 2007 | VLDB |
| 2 | 12,291 | On Scaling Up Sensitive Data Auditing | 2013 | VLDB |
| 3 | 8,260 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD |
| 4 | 3,935 | Output Perturbation with Query Relaxation | 2008 | VLDB |
| 5 | 1,594 | Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases | 2011 | SIGMOD |
| 6 | 3,974 | Epistemic Privacy | 2008 | PODS |
| 7 | 123 | Revealing Information while Preserving Privacy | 2003 | PODS |
| 8 | 2,017 | Auditing Boolean Attributes | 2000 | PODS |
| 9 | 6,705 | Efficient Auditing For Complex SQL queries | 2011 | SIGMOD |
| 10 | 2,401 | Simulatable Auditing | 2005 | PODS |