On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis

On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis

23 March 2016

James R. Foulds

Kamalika Chaudhuri

Papers citing "On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis"

19 / 19 papers shown

Title
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 82 0 0 30 Nov 2024
Data Analytics with Differential Privacy V. Digalakis 22 2 0 20 Jul 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 23 0 0 07 Mar 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 38 3 0 15 Feb 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC Barics Alparslan S. Yıldırım cS. .Ilker Birbil FedML 25 1 0 31 Jan 2023
Near Optimal Private and Robust Linear Regression Xiyang Liu Prateek Jain Weihao Kong Sewoong Oh A. Suggala 41 9 0 30 Jan 2023
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms Jeremy Seeman M. Reimherr Aleksandra B. Slavkovic 32 11 0 03 Apr 2022
Differentially private stochastic expectation propagation (DP-SEP) Margarita Vinaroz Mijung Park 25 1 0 25 Nov 2021
Dirichlet Mechanism for Differentially Private KL Divergence Minimization Donlapark Ponnoprat 16 0 0 03 Oct 2021
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Joonas Jälkö A. Koskela Samuel Kaski Antti Honkela 35 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 34 125 0 05 Aug 2020
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 32 58 0 29 Oct 2019
On Privacy Protection of Latent Dirichlet Allocation Model Training Fangyuan Zhao Xuebin Ren Shusen Yang Xinyu Yang 22 5 0 04 Jun 2019
Profile-Based Privacy for Locally Private Computations J. Geumlek Kamalika Chaudhuri 21 17 0 21 Jan 2019
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 33 48 0 06 Sep 2018
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu-Xiang Wang Borja Balle S. Kasiviswanathan 14 397 0 31 Jul 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 41 38 0 25 Dec 2017
Per-instance Differential Privacy Yu-Xiang Wang 31 5 0 24 Jul 2017
Differentially Private Variational Inference for Non-conjugate Models Joonas Jälkö O. Dikmen Antti Honkela FedML 18 48 0 27 Oct 2016