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Incognito: Efficient Full-Domain K-Anonymity
Summary: Framework for full-domain generalization in k-anonymity; algorithms produce minimal generalizations and are up to 10× faster than prior work. Provides a unified taxonomy of k-anonymization models with new alternatives.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h511d725b1308c4aa
Venue
SIGMOD
Year
2005
Pagerank
0.00017747844
Overall Rank
470 | 96.85%
DOI
10.1145/1066157.1066164
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{lefevre_sigmod05,
title = {{Incognito: Efficient Full-Domain K-Anonymity}},
author = {LeFevre, Kristen and DeWitt, David J. and Ramakrishnan, Raghu},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066164},
url = {https://dl.acm.org/doi/10.1145/1066157.1066164},
year = {2005}
}
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