Lukas Prediger

According to our database, Lukas Prediger authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Collaborative learning from distributed data with differentially private synthetic data.

Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski

BMC Medical Informatics Decis. Mak., December, 2024

2023

Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data.

Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski

CoRR, 2023

2022

d3p - A Python Package for Differentially-Private Probabilistic Programming.

Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela

Proc. Priv. Enhancing Technol., 2022

DPVIm: Differentially Private Variational Inference Improved.

Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski

CoRR, 2022

2021

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT.

Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT.

Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela

CoRR, 2020

2017

On the importance of monitoring and directing progress in AI.

Lukas Prediger

AI Matters, 2017