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Improving Utility and Security of the Shuffler-based Differential Privacy

Summary: Analyzes shuffler-based LDP with an explicit treatment of adversaries in the multi-party model. Proposes a stronger privacy–utility algorithm and a shuffling protocol resilient to broader attacks, validated experimentally. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12424
Venue
VLDB
Year
2020
Pagerank
6.2188088e-05
Overall Rank
5,439 | 62.69%
DOI
10.14778/3424573.3424576

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb20,
        title = {{Improving Utility and Security of the Shuffler-based Differential Privacy}},
        author = {Wang, Tianhao and Ding, Bolin and Xu, Min and Huang, Zhicong and Hong, Cheng and Zhou, Jingren and Li, Ninghui and Jha, Somesh},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {13},
        pages = {3545--3558},
        doi = {10.14778/3424573.3424576},
        url = {https://doi.org/10.14778/3424573.3424576},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,489 Network Shuffling: Privacy Amplification via Random Walks 2022 SIGMOD 5.4152704e-05
10,442 Defense against Poisoning Attacks under Shuffle-DP 2026 SIGMOD 5.093636e-05
10,517 Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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