Resisting Structural Re-identification in Anonymized Social Networks
Summary: Quantifies privacy risks of three attack classes on anonymized networks, risk varies with structure and size. Proposes a model-based anonymization of aggregate structure, sampling to yield anonymity while preserving estimates of network measures. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Hay
- 2. Gerome Miklau
- 3. David Jensen
- 4. Don Towsley
- 5. Philipp Weis
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 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 |
|---|---|---|---|---|
| 803 | Towards Identity Anonymization on Graphs | 2008 | SIGMOD | 0.00016478924 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
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| 6,410 | Publishing Attributed Social Graphs with Formal Privacy Guarantees | 2016 | SIGMOD | 5.0753667e-05 |
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| 13,407 | Privacy Preserving Social Graphs for High Precision Community Detection | 2014 | SIGMOD | - |
| 3,101 | Injecting Uncertainty in Graphs for Identity Obfuscation | 2012 | VLDB | 7.5598015e-05 |
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| 8,309 | Personalized Privacy Protection in Social Networks | 2011 | VLDB | 4.5435639e-05 |
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