Simulatable Auditing
Summary: Show offline audit methods fail online because denials can leak information, and introduce simulatable auditing, a model where denials provably reveal no extra information. Prove max queries auditable under classical "no full compromise" privacy and define a probabilistic partial-compromise notion that enables simulatable auditing for sum queries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Krishnaram Kenthapadi
- 2. Nina Mishra
- 3. Kobbi Nissim
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 136 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.0004241101 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.0003788711 |
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| 4,570 | On the Efficiency of Checking Perfect Privacy | 2006 | PODS | 6.0780779e-05 |
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| 9,513 | Multi-Analyst Differential Privacy for Online Query Answering | 2023 | VLDB | 4.3335882e-05 |
| 1,506 | Auditing Boolean Attributes | 2000 | PODS | 0.00011618118 |
| 6,510 | Efficient Auditing For Complex SQL queries | 2011 | SIGMOD | 5.0326078e-05 |
| 2,625 | Epistemic Privacy | 2008 | PODS | 8.4317678e-05 |
| 3,258 | Towards Robustness in Query Auditing | 2006 | VLDB | 7.3150323e-05 |