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Differential Privacy in Data Publication and Analysis

Summary: Tutorial on differential privacy for data publication and analysis, from a database perspective. Presents DP basics, state-of-the-art, limitations, and open problems, highlighting DP as a replacement for prior-knowledge-sensitive privacy models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4624
Venue
SIGMOD
Year
2012
Pagerank
5.8779245e-05
Overall Rank
6,441 | 55.81%
DOI
10.1145/2213836.2213910

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Authors

BibTeX Citation

@inproceedings{yang_sigmod12,
        title = {{Differential Privacy in Data Publication and Analysis}},
        author = {Yang, Yin and Zhang, Zhenjie and Miklau, Gerome and Winslett, Marianne and Xiao, Xiaokui},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213910},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213910},
        year = {2012}
}

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