Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge
Summary: General framework for privacy with external knowledge; introduces a multidimensional adversary knowledge model. A more intuitive, flexible multidimensional privacy criterion; enables faster disclosure measurement and data sanitization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bee-Chung Chen (University of Wisconsin)
- 2. Kristen LeFevre (University of Wisconsin)
- 3. Raghu Ramakrishnan (Yahoo)
BibTeX Citation
@article{chen_vldb07,
title = {{Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge}},
author = {Chen, Bee-Chung and LeFevre, Kristen and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '07},
volume = {2},
number = {1},
pages = {770--781},
doi = {10.14778/1687627.1687715},
url = {https://doi.org/10.14778/1687627.1687715},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,255 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8595313e-05 |
| 8,661 | Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification | 2008 | SIGMOD | 5.3889537e-05 |
| 8,750 | I/O-Efficient Planar Range Skyline and Attrition Priority Queues | 2013 | PODS | 5.3766157e-05 |
| 8,784 | Data Publishing against Realistic Adversaries | 2009 | VLDB | 5.3736002e-05 |
| 9,001 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 5.334788e-05 |
| 9,323 | Computing All Skyline Probabilities for Uncertain Data | 2009 | PODS | 5.289545e-05 |
| 9,485 | Small Domain Randomization: Same Privacy, More Utility | 2010 | VLDB | 5.2634238e-05 |
| 9,487 | Preservation of Proximity Privacy in Publishing Numerical Sensitive Data | 2008 | SIGMOD | 5.2634238e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 450 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00018155142 |
| 572 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00016316092 |
| 1,088 | A Formal Analysis of Information Disclosure in Data Exchange | 2004 | SIGMOD | 0.00012248135 |
| 1,669 | Injecting Utility into Anonymized Datasets | 2006 | SIGMOD | 0.00010050522 |
| 2,397 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.6343421e-05 |
| 3,845 | Checking for k-Anonymity Violation by Views | 2005 | VLDB | 7.0779843e-05 |
| 4,159 | On the Efficiency of Checking Perfect Privacy | 2006 | PODS | 6.8626218e-05 |
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| 7 | 2,397 | Personalized Privacy Preservation | 2006 | SIGMOD |
| 8 | 1,295 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB |
| 9 | 8,661 | Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification | 2008 | SIGMOD |
| 10 | 8,784 | Data Publishing against Realistic Adversaries | 2009 | VLDB |