Surrogate Parenthood: Protected and Informative Graphs
Summary: Surrogates for graph components enable informative path-based queries on sensitive graphs. Formalizes protected account G', utility for informativeness, an opacity against topology reconstruction, and an algorithm to construct maximally useful surrogates; PLUS prototype evaluation shows meaningful gain with negligible query-time overhead. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Barbara Blaustein
- 2. Adriane Chapman
- 3. Len Seligman
- 4. M. David Allen
- 5. Arnon Rosenthal
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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 |
| 1,571 | Resisting Structural Re-identification in Anonymized Social Networks | 2008 | VLDB | 0.00011318916 |
| 4,349 | Class-based graph anonymization for social network data | 2009 | VLDB | 6.2647606e-05 |
| 6,515 | Provenance Views for Module Privacy | 2011 | PODS | 5.0321577e-05 |
| 7,132 | Enabling Privacy in Provenance-Aware Workflow Systems | 2011 | CIDR | 4.8227603e-05 |
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