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 (Stanford University)
- 2. Nina Mishra (Hewlett Packard Enterprise; Stanford University)
- 3. Kobbi Nissim (Ben Gurion University; Microsoft)
BibTeX Citation
@inproceedings{kenthapadi_pods05,
address = {New York, NY, USA},
series = {{PODS} '05},
title = {{Simulatable Auditing}},
url = {https://dl.acm.org/doi/10.1145/1065167.1065183},
doi = {10.1145/1065167.1065183},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Kenthapadi, Krishnaram and Mishra, Nina and Nissim, Kobbi},
year = {2005}
}
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 |
|---|---|---|---|---|
| 123 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00031082693 |
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
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