Data Publishing against Realistic Adversaries
Summary: Models intermediate “realistic” adversaries using external knowledge weighted by stubbornness, bridging ignorant and omniscient threat models. Introduces ε-privacy, subsuming prior definitions and enabling high-utility publishing against strong attackers in census-data experiments. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ashwin Machanavajjhala (Yahoo)
- 2. Johannes Gehrke (Cornell University)
- 3. Michaela Götz (Cornell University)
BibTeX Citation
@article{machanavajjhala_vldb09,
title = {{Data Publishing against Realistic Adversaries}},
author = {Machanavajjhala, Ashwin and Gehrke, Johannes and Götz, Michaela},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687717},
url = {https://doi.org/10.14778/1687627.1687717},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,895 | Personalized Social Recommendations - Accurate or Private? | 2011 | VLDB | 6.9223264e-05 |
| 4,441 | Towards an Axiomatization of Statistical Privacy and Utility | 2010 | PODS | 6.5824511e-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 |
|---|---|---|---|---|
| 227 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00023895095 |
| 472 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00017689274 |
| 1,101 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.00011995659 |
| 1,113 | A Formal Analysis of Information Disclosure in Data Exchange | 2004 | SIGMOD | 0.00011942006 |
| 1,792 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 9.6159131e-05 |
| 2,462 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.4116174e-05 |
| 4,008 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.8439132e-05 |
| 4,150 | Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge | 2007 | VLDB | 6.762449e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,925 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB |
| 2 | 9,703 | Preservation of Proximity Privacy in Publishing Numerical Sensitive Data | 2008 | SIGMOD |
| 3 | 2,462 | Personalized Privacy Preservation | 2006 | SIGMOD |
| 4 | 2,877 | CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers | 2020 | SIGMOD |
| 5 | 6,576 | Differential Privacy in Data Publication and Analysis | 2012 | SIGMOD |
| 6 | 8,022 | Quantifying identifiability to choose and audit epsilon in differentially private deep learning | 2021 | VLDB |
| 7 | 1,792 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB |
| 8 | 12,666 | Publishing Microdata with a Robust Privacy Guarantee | 2012 | VLDB |
| 9 | 1,332 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB |
| 10 | 4,150 | Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge | 2007 | VLDB |