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D3p – A Python Package for Differentially-Private Probabilistic Programming [article]

Lukas Prediger, Niki Loppi, Samuel Kaski, Antti Honkela
2021 arXiv   pre-print
. d3p adopts the probabilistic programming paradigm as a powerful way for the user to flexibly define such models.  ...  We present d3p, a software package designed to help fielding runtime efficient widely-applicable Bayesian inference under differential privacy guarantees. d3p achieves general applicability to a wide range  ...  Acknowledgements This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI, and grants 292334, 319264, 325572 and 325573) and by the Strategic  ... 
arXiv:2103.11648v2 fatcat:nkymq7ieszhmjeaw4umfsxgqya

d3p - A Python Package for Differentially-Private Probabilistic Programming

Lukas Prediger, Niki Loppi, Samuel Kaski, Antti Honkela
2022 Proceedings on Privacy Enhancing Technologies  
. d3p adopts the probabilistic programming paradigm as a powerful way for the user to flexibly define such models.  ...  We present d3p, a software package designed to help fielding runtime efficient widely-applicable Bayesian inference under differential privacy guarantees. d3p achieves general applicability to a wide range  ...  Acknowledgements This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI, and grants 292334, 319264, 325572 and 325573) and by the Strategic  ... 
doi:10.2478/popets-2022-0052 fatcat:ko56fz7kczbtxgy3nz37wcdkme