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Network Shuffling: Privacy Amplification via Random Walks

Summary: Decentralized shuffling via random-walk on a graph for privacy amplification in LDP. Distributed protocols, threat model, and amplification comparable to uniform shuffling; no centralized shuffler. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6534
Venue
SIGMOD
Year
2022
Pagerank
5.4152704e-05
Overall Rank
8,489 | 41.76%
DOI
10.1145/3514221.3526162

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{liew_sigmod22,
        title = {{Network Shuffling: Privacy Amplification via Random Walks}},
        author = {Liew, Seng Pei and Takahashi, Tsubasa and Takagi, Shun and Kato, Fumiyuki and Cao, Yang and Yoshikawa, Masatoshi},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526162},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526162},
        year = {2022}
}

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