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Injecting Uncertainty in Graphs for Identity Obfuscation

Summary: Proposes injecting uncertainty into social graphs and publishing uncertain graphs for anonymization. Unlike binary edge add/remove, partial perturbation preserves more utility at the same obfuscation level, yielding higher usefulness on real networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10562
Venue
VLDB
Year
2012
Pagerank
7.9035901e-05
Overall Rank
2,977 | 79.58%
DOI
10.14778/2350229.2350240

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{boldi_vldb12,
        title = {{Injecting Uncertainty in Graphs for Identity Obfuscation}},
        author = {Boldi, Paolo and Bonchi, Francesco and Gionis, Aristides and Tassa, Tamir},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1376--1387},
        doi = {10.14778/2350229.2350240},
        url = {https://doi.org/10.14778/2350229.2350240},
        year = {2012}
}

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