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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)

Paper ID
10471
Venue
VLDB
Year
2011
Pagerank
5.093636e-05
Overall Rank
12,402 | 14.92%
DOI
10.14778/2002974.2002979

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Authors

BibTeX Citation

@article{blaustein_vldb11,
        title = {{Surrogate Parenthood: Protected and Informative Graphs}},
        author = {Blaustein, Barbara and Chapman, Adriane and Seligman, Len and Allen, M. David and Rosenthal, Arnon},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {8},
        pages = {518--529},
        doi = {10.14778/2002974.2002979},
        url = {https://doi.org/10.14778/2002974.2002979},
        year = {2011}
}

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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
985 Towards Identity Anonymization on Graphs 2008 SIGMOD 0.00012818114
1,326 Resisting Structural Re-identification in Anonymized Social Networks 2008 VLDB 0.00011145219
4,125 Class-based graph anonymization for social network data 2009 VLDB 6.886347e-05
6,419 Provenance Views for Module Privacy 2011 PODS 5.8819368e-05
7,215 Enabling Privacy in Provenance-Aware Workflow Systems 2011 CIDR 5.6697019e-05
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