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Preservation of Proximity Privacy in Publishing Numerical Sensitive Data

Summary: Proximity breach risks numerical sensitive data in anonymized publications; standard principles fail. Proposes (ε, m)-anonymity: in a QI-group, at most 1/m tuples have ε-similar values to x; theory, a generalization algorithm, and real-data validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0eec2aa4642dde7a
Venue
SIGMOD
Year
2008
Pagerank
5.1453267e-05
Overall Rank
9,667 | 35.01%
DOI
10.1145/1376616.1376666

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod08,
        title = {{Preservation of Proximity Privacy in Publishing Numerical Sensitive Data}},
        author = {Li, Jiexing and Tao, Yufei and Xiao, Xiaokui},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376666},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376666},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,617 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
68 Privacy-Preserving Data Mining 2000 SIGMOD 0.00037958605
226 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00023984903
404 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00019081867
411 Hippocratic Databases 2002 VLDB 0.00018699914
469 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.0001775622
520 Practical Privacy: The SuLQ Framework 2005 PODS 0.00016939312
584 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00015954725
1,020 m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets 2007 SIGMOD 0.00012443542
1,097 Privacy Preserving OLAP 2005 SIGMOD 0.00012041002
1,323 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00011028542
1,705 Injecting Utility into Anonymized Datasets 2006 SIGMOD 9.831451e-05
1,782 The Boundary Between Privacy and Utility in Data Publishing 2007 VLDB 9.652327e-05
3,165 Achieving Anonymity via Clustering 2006 PODS 7.5767906e-05
3,359 Towards Robustness in Query Auditing 2006 VLDB 7.3781883e-05
4,133 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.7880955e-05
4,628 Hiding the Presence of Individuals from Shared Databases 2007 SIGMOD 6.4962867e-05
4,802 Fast Data Anonymization with Low Information Loss 2007 VLDB 6.4095862e-05
6,678 Approximate Algorithms for k-Anonymity 2007 SIGMOD 5.710693e-05
7,788 K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization 2007 VLDB 5.4526034e-05
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