Differentially Private Bayesian Linear Regression

29 October 2019

Papers citing "Differentially Private Bayesian Linear Regression"

37 / 37 papers shown

Title
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
Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression Zeki Kazan Jerome P. Reiter 44 0 0 22 May 2024
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low P. Jaillet 35 4 0 02 Apr 2024
General Inferential Limits Under Differential and Pufferfish Privacy J. Bailie Ruobin Gong 29 1 0 27 Jan 2024
MCMC for Bayesian nonparametric mixture modeling under differential privacy Mario Beraha Stefano Favaro Vinayak Rao 41 1 0 15 Oct 2023
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Yun Lu Malik Magdon-Ismail Yu Wei Vassilis Zikas 26 0 0 03 Sep 2023
Differentially Private Linear Regression with Linked Data Shurong Lin Elliot Paquette E. D. Kolaczyk 27 1 0 01 Aug 2023
Differentially Private Statistical Inference through $β$ -Divergence One Posterior Sampling Jack Jewson Sahra Ghalebikesabi Chris Holmes 32 2 0 11 Jul 2023
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism Raksha Ramakrishna Anna Scaglione Tong Wu Nikhil Ravi S. Peisert 22 4 0 08 Jun 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
Differentially Private Distributed Bayesian Linear Regression with MCMC Barics Alparslan S. Yıldırım cS. .Ilker Birbil FedML 25 1 0 31 Jan 2023
DPVIm: Differentially Private Variational Inference Improved Joonas Jälkö Lukas Prediger Antti Honkela Samuel Kaski 28 3 0 28 Oct 2022
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression Xinlin Leng Chenxu Li Weifeng Xu Yuyan Sun Hongtao Wang FedML 30 1 0 16 Sep 2022
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi Salil P. Vadhan FedML 40 11 0 29 Jun 2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao P. Ju Jordan Awan Ruobin Gong Vinayak A. Rao 24 23 0 01 Jun 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 Nonparametric Regression Under a Growth Condition Noah Golowich 17 6 0 24 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
Non-parametric Differentially Private Confidence Intervals for the Median Joerg Drechsler Ira Globus-Harris Audra McMillan Jayshree Sarathy Adam D. Smith 16 13 0 18 Jun 2021
Gaussian Processes with Differential Privacy Antti Honkela Laila Melkas 21 2 0 01 Jun 2021
Foundations of Bayesian Learning from Synthetic Data H. Wilde Jack Jewson Sebastian J. Vollmer Chris Holmes 17 15 0 16 Nov 2020
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Joonas Jälkö A. Koskela Samuel Kaski Antti Honkela 29 31 0 01 Nov 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 28 125 0 05 Aug 2020
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 13 53 0 10 Jul 2020
Parametric Bootstrap for Differentially Private Confidence Intervals Cecilia Ferrando Shufan Wang Daniel Sheldon 15 39 0 14 Jun 2020
Data Heterogeneity Differential Privacy: From Theory to Algorithm Yilin Kang Jian Li Yong Liu Weiping Wang 23 1 0 20 Feb 2020
Input Perturbation: A New Paradigm between Central and Local Differential Privacy Yilin Kang Yong Liu Ben Niu Xin-Yi Tong Likun Zhang Weiping Wang 25 11 0 20 Feb 2020
Weighted Distributed Differential Privacy ERM: Convex and Non-convex Yilin Kang Yong Liu Weiping Wang 13 10 0 23 Oct 2019
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations Ruobin Gong 27 25 0 26 Sep 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