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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
5.1258854e-05
Overall Rank
9,703 | 34.96%
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
12,666 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 4.9605343e-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
69 Privacy-Preserving Data Mining 2000 SIGMOD 0.00037815735
227 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00023895095
406 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00019009895
414 Hippocratic Databases 2002 VLDB 0.00018629709
472 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00017689274
525 Practical Privacy: The SuLQ Framework 2005 PODS 0.00016875512
588 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00015894454
1,024 m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets 2007 SIGMOD 0.00012396673
1,101 Privacy Preserving OLAP 2005 SIGMOD 0.00011995659
1,332 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00010986961
1,714 Injecting Utility into Anonymized Datasets 2006 SIGMOD 9.7943215e-05
1,792 The Boundary Between Privacy and Utility in Data Publishing 2007 VLDB 9.6159131e-05
3,177 Achieving Anonymity via Clustering 2006 PODS 7.5481718e-05
3,370 Towards Robustness in Query Auditing 2006 VLDB 7.3503641e-05
4,150 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.762449e-05
4,649 Hiding the Presence of Individuals from Shared Databases 2007 SIGMOD 6.4717415e-05
4,826 Fast Data Anonymization with Low Information Loss 2007 VLDB 6.3853698e-05
6,697 Approximate Algorithms for k-Anonymity 2007 SIGMOD 5.6891158e-05
7,811 K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization 2007 VLDB 5.432001e-05
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