Differentially Private Bayesian Inference for Generalized Linear Models

1 November 2020

Papers citing "Differentially Private Bayesian Inference for Generalized Linear Models"

20 / 20 papers shown

Title
$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Borja Balle Antti Honkela 51 0 0 13 Mar 2025
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Joonas Jälkö Antti Honkela 35 0 0 25 Oct 2024
Statistical Inference for Privatized Data with Unknown Sample Size Jordan Awan A. F. Barrientos Nianqiao P. Ju 53 0 0 10 Jun 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 44 0 0 23 May 2024
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low P. Jaillet 33 4 0 02 Apr 2024
Differentially Private Statistical Inference through $β$ -Divergence One Posterior Sampling Jack Jewson Sahra Ghalebikesabi Chris Holmes 32 2 0 11 Jul 2023
Saibot: A Differentially Private Data Search Platform Zezhou Huang Jiaxiang Liu Daniel Alabi Raul Castro Fernandez Eugene Wu 6 7 0 01 Jul 2023
On Consistent Bayesian Inference from Synthetic Data Ossi Raisa Joonas Jälkö Antti Honkela SyDa 26 2 0 26 May 2023
Simulation-based, Finite-sample Inference for Privatized Data Jordan Awan Zhanyu Wang 33 7 0 09 Mar 2023
DPVIm: Differentially Private Variational Inference Improved Joonas Jälkö Lukas Prediger Antti Honkela Samuel Kaski 28 3 0 28 Oct 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Joonas Jälkö Samuel Kaski Antti Honkela SyDa 37 10 0 28 May 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 26 3 0 22 Apr 2022
Differentially Private Regression with Unbounded Covariates Jason Milionis Alkis Kalavasis Dimitris Fotakis Stratis Ioannidis 23 10 0 19 Feb 2022
Differentially private stochastic expectation propagation (DP-SEP) Margarita Vinaroz Mijung Park 25 1 0 25 Nov 2021
Locally Differentially Private Bayesian Inference Tejas D. Kulkarni Joonas Jälkö Samuel Kaski Antti Honkela 31 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 16 11 0 18 Jul 2021
Gaussian Processes with Differential Privacy Antti Honkela Laila Melkas 21 2 0 01 Jun 2021
Differentially private inference via noisy optimization Marco Avella-Medina Casey Bradshaw Po-Ling Loh FedML 25 29 0 19 Mar 2021
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