Secure random sampling in differential privacy

DOI10.1007/978-3-030-88428-4_26zbMath1498.68103arXiv2107.10138OpenAlexW3203011700MaRDI QIDQ2148768

Stefano Braghin, Naoise Holohan

Publication date: 24 June 2022

Full work available at URL: https://arxiv.org/abs/2107.10138

zbMATH Keywords

computational complexityrandom numbersdifferential privacy

Mathematics Subject Classification ID

Privacy of data (68P27)

Uses Software

• NumPy
• GitHub
• Diffprivlib

Cites Work

• Preserving differential privacy under finite-precision semantics
• Sampling Exactly from the Normal Distribution
• Differential Privacy with Imperfect Randomness
• Computational Differential Privacy
• A Note on the Generation of Random Normal Deviates
• Computer Generation of Random Variables Using the Ratio of Uniform Deviates
• Computer methods for sampling from the exponential and normal distributions
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