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D3p -- A Python Package for Differentially-Private Probabilistic Programming

D3p -- A Python Package for Differentially-Private Probabilistic Programming

Lukas Prediger
Niki Loppi
Samuel Kaski
Antti Honkela
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Papers citing "D3p -- A Python Package for Differentially-Private Probabilistic Programming"

3 / 3 papers shown
Title
On Consistent Bayesian Inference from Synthetic Data
On Consistent Bayesian Inference from Synthetic Data
Ossi Raisa
Joonas Jälkö
Antti Honkela
SyDa
26
2
0
26 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Yumeki Goto
Tomoya Matsumoto
Hamada Rizk
Naoto Yanai
Hirozumi Yamaguchi
17
6
0
14 May 2023
DPVIm: Differentially Private Variational Inference Improved
DPVIm: Differentially Private Variational Inference Improved
Joonas Jälkö
Lukas Prediger
Antti Honkela
Samuel Kaski
28
3
0
28 Oct 2022