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Privacy Preservation by Disassociation

Summary: Proposes disassociation, a data-anonymization method for sparse multidimensional data that preserves terms while hiding co-occurrence. Shows k^m-anonymity by suppressing co-location, not term hiding; benchmarked against generalization and differential privacy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10534
Venue
VLDB
Year
2012
Pagerank
4.4229886e-05
Overall Rank
8,934 | 37.91%
DOI
-

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Rank Citing Paper Year Venue Pagerank
10,046 Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems 2026 SIGMOD 4.1905499e-05
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