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Global and Local Differentially Private Release of Count-Weighted Graphs

Summary: Global and local DP for count-weighted graphs, protecting topology and edge weights. Two novel DP approaches with post-processing for domain constraints; real-graph experiments show superior utility vs prior methods, enabling diverse statistics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6719
Venue
SIGMOD
Year
2023
Pagerank
5.9833455e-05
Overall Rank
6,083 | 58.27%
DOI
10.1145/3589299

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{brito_sigmod23,
        title = {{Global and Local Differentially Private Release of Count-Weighted Graphs}},
        author = {Brito, Felipe T. and Farias, Victor A. E. and Flynn, Cheryl and Majumdar, Subhabrata and Machado, Javam C. and Srivastava, Divesh},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589299},
        url = {https://dl.acm.org/doi/10.1145/3589299},
        year = {2023}
}

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