Anonymizing Bipartite Graph Data using Safe Groupings
Summary: Introduces (k,l)-groupings that anonymize entity-to-node mappings while preserving bipartite edges and aggregate structure exactly. Safe groupings resist multiple attacks; algorithms and experiments demonstrate strong privacy–utility tradeoffs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode (AT&T)
- 2. Divesh Srivastava (AT&T)
- 3. Ting Yu (North Carolina State University)
- 4. Qing Zhang (North Carolina State University)
BibTeX Citation
@article{cormode_vldb08,
title = {{Anonymizing Bipartite Graph Data using Safe Groupings}},
author = {Cormode, Graham and Srivastava, Divesh and Yu, Ting and Zhang, Qing},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {833--844},
doi = {10.14778/1454159.1454250},
url = {https://doi.org/10.14778/1454159.1454250},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 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 |
|---|---|---|---|---|
| 572 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00016316092 |
| 1,295 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00011272398 |
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