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GUPT: Privacy Preserving Data Analysis Made Easy

Summary: GUPT enables privacy-preserving data analysis by external agents without reengineering programs or trusting the analysis code. It provides differential privacy for arbitrary code, resists side-channel leaks, and uses a time-decay data-sensitivity model to allocate privacy levels and boost utility. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4598
Venue
SIGMOD
Year
2012
Pagerank
9.5020196e-05
Overall Rank
1,906 | 86.93%
DOI
10.1145/2213836.2213876

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mohan_sigmod12,
        title = {{GUPT: Privacy Preserving Data Analysis Made Easy}},
        author = {Mohan, Prashanth and Thakurta, Abhradeep and Shi, Elaine and Song, Dawn and Culler, David E.},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213876},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213876},
        year = {2012}
}

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