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Improving Utility and Security of the Shuffler-based Differential Privacy

Summary: Analyzes LDP with a non-colluding shuffler, enumerating adversaries and threat models; proposes a new algorithm with a better privacy-utility tradeoff under shuffler-based DP. Introduces a robust protocol to resist attacks, with experiments showing gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12236
Venue
VLDB
Year
2020
Pagerank
5.6154535e-05
Overall Rank
5,229 | 63.63%
DOI
10.14778/3424573.3424576

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,512 Network Shuffling: Privacy Amplification via Random Walks 2022 SIGMOD 4.4947966e-05
10,153 Defense against Poisoning Attacks under Shuffle-DP 2026 SIGMOD 4.1945683e-05
10,229 Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy 2026 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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

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