scientific article; zbMATH DE number 7255047

zbMath1498.68099arXiv1707.04982MaRDI QIDQ4969048

Abhradeep Thakurta, Kobbi Nissim, Raef Bassily, Uri Stemmer

Publication date: 5 October 2020

Full work available at URL: https://arxiv.org/abs/1707.04982

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

sketchinghistogramsdifferential privacyheavy hitterslocal differential privacy

Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17) Privacy of data (68P27)

Related Items (3)

Forty years of frequent items ⋮ On the power of multiple anonymous messages: frequency estimation and selection in the shuffle model of differential privacy ⋮ Unnamed Item

Uses Software

• RAPPOR

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Simultaneous Private Learning of Multiple Concepts
• Distributed Private Heavy Hitters
• Optimal Lower Bound for Differentially Private Multi-party Aggregation
• Local, Private, Efficient Protocols for Succinct Histograms
• What Can We Learn Privately?
• On representations of algebraic-geometry codes
• Heavy Hitters and the Structure of Local Privacy
• Probability and Computing
• Theory of Cryptography

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