Differentially Private Markov Chain Monte Carlo

29 January 2019

Papers citing "Differentially Private Markov Chain Monte Carlo"

23 / 23 papers shown

Title
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 69 0 0 25 Nov 2024
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Joonas Jälkö Antti Honkela 32 0 0 25 Oct 2024
Protect Your Score: Contact Tracing With Differential Privacy Guarantees Rob Romijnders Christos Louizos Yuki M. Asano Max Welling 10 3 0 18 Dec 2023
Differentially Private Statistical Inference through $β$ -Divergence One Posterior Sampling Jack Jewson Sahra Ghalebikesabi Chris Holmes 27 2 0 11 Jul 2023
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference Wanrong Zhang Ruqi Zhang 8 4 0 10 Mar 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC Barics Alparslan S. Yıldırım cS. .Ilker Birbil FedML 23 1 0 31 Jan 2023
Differentially Private Online Bayesian Estimation With Adaptive Truncation S. Yıldırım 21 1 0 19 Jan 2023
Differentially private partitioned variational inference Mikko A. Heikkilä Matthew Ashman S. Swaroop Richard E. Turner Antti Honkela FedML 14 2 0 23 Sep 2022
Robust One Round Federated Learning with Predictive Space Bayesian Inference Mohsin Hasan Zehao Zhang Kaiyang Guo Mahdi Karami Guojun Zhang Xi Chen Pascal Poupart FedML OOD 17 1 0 20 Jun 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Joonas Jälkö Samuel Kaski Antti Honkela SyDa 32 10 0 28 May 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 19 3 0 22 Apr 2022
Statistic Selection and MCMC for Differentially Private Bayesian Estimation Barış Alparslan S. Yıldırım 17 3 0 24 Mar 2022
Locally Differentially Private Bayesian Inference Tejas D. Kulkarni Joonas Jälkö Samuel Kaski Antti Honkela 29 2 0 27 Oct 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 14 11 0 18 Jul 2021
Some Examples of Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data F. Liu Dong Wang Tian Yan 11 1 0 18 Jun 2021
Differentially Private Hamiltonian Monte Carlo Ossi Raisa A. Koskela Antti Honkela 11 6 0 17 Jun 2021
Gaussian Processes with Differential Privacy Antti Honkela Laila Melkas 14 2 0 01 Jun 2021
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Joonas Jälkö A. Koskela Samuel Kaski Antti Honkela 18 31 0 01 Nov 2020
Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data Borja Rodríguez Gálvez Germán Bassi Mikael Skoglund 11 4 0 12 May 2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm Yilin Kang Jian Li Yong Liu Weiping Wang 16 1 0 20 Feb 2020
Privacy-preserving data sharing via probabilistic modelling Joonas Jälkö Eemil Lagerspetz J. Haukka Sasu Tarkoma Antti Honkela Samuel Kaski 15 15 0 10 Dec 2019
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 33 48 0 06 Sep 2018
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 21 42 0 01 Nov 2016