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Autor principal: Ganesh, Arun
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2401.10294
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author Ganesh, Arun
author_facet Ganesh, Arun
contents We give a procedure for computing group-level $(ε, δ)$-DP guarantees for DP-SGD, when using Poisson sampling or fixed batch size sampling. Up to discretization errors in the implementation, the DP guarantees computed by this procedure are tight (assuming we release every intermediate iterate).
format Preprint
id arxiv_https___arxiv_org_abs_2401_10294
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tight Group-Level DP Guarantees for DP-SGD with Sampling via Mixture of Gaussians Mechanisms
Ganesh, Arun
Cryptography and Security
Machine Learning
We give a procedure for computing group-level $(ε, δ)$-DP guarantees for DP-SGD, when using Poisson sampling or fixed batch size sampling. Up to discretization errors in the implementation, the DP guarantees computed by this procedure are tight (assuming we release every intermediate iterate).
title Tight Group-Level DP Guarantees for DP-SGD with Sampling via Mixture of Gaussians Mechanisms
topic Cryptography and Security
Machine Learning
url https://arxiv.org/abs/2401.10294