The privacy blanket of the shuffle model

DOI10.1007/978-3-030-26951-7_22zbMath1483.68100arXiv1903.02837OpenAlexW2967889168MaRDI QIDQ2304998

Yanyan Li

Publication date: 9 March 2020

Full work available at URL: https://arxiv.org/abs/1903.02837

zbMATH Keywords

differential privacyprivacy amplificationsecure shuffling

Mathematics Subject Classification ID

Cryptography (94A60) Privacy of data (68P27)

Related Items (8)

Efficient noise generation to achieve differential privacy with applications to secure multiparty computation ⋮ A theory of composition for differential obliviousness ⋮ Approximate distance-comparison-preserving symmetric encryption ⋮ The right complexity measure in locally private estimation: it is not the Fisher information ⋮ On the power of multiple anonymous messages: frequency estimation and selection in the shuffle model of differential privacy ⋮ Non-interactive anonymous router ⋮ Spreading the privacy blanket: differentially oblivious shuffling for differential privacy ⋮ Private aggregation from fewer anonymous messages

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