Relationship Privacy: Output Perturbation for Queries with Joins
Summary: Output-perturbation for join queries on relationship data that reduces worst-case error from polynomial in n to polylogarithmic. Relaxes differential privacy to adversarial privacy, characterizing epsilon-indistinguishability for a class of bounded-prior adversaries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vibhor Rastogi (University of Washington)
- 2. Michael Hay (University of Massachusetts Amherst)
- 3. Gerome Miklau (University of Massachusetts Amherst)
- 4. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{rastogi_pods09,
address = {New York, NY, USA},
series = {{PODS} '09},
title = {{Relationship Privacy: Output Perturbation for Queries with Joins}},
url = {https://dl.acm.org/doi/10.1145/1559795.1559812},
doi = {10.1145/1559795.1559812},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Rastogi, Vibhor and Hay, Michael and Miklau, Gerome and Suciu, Dan},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
| 985 | Towards Identity Anonymization on Graphs | 2008 | SIGMOD | 0.00012818114 |
| 1,088 | A Formal Analysis of Information Disclosure in Data Exchange | 2004 | SIGMOD | 0.00012248135 |
| 1,326 | Resisting Structural Re-identification in Anonymized Social Networks | 2008 | VLDB | 0.00011145219 |
| 1,746 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 9.8564338e-05 |
| 3,974 | Epistemic Privacy | 2008 | PODS | 6.9803508e-05 |
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