Locally Private Bayesian Inference for Count Models

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Locally Private Bayesian Inference for Count Models

22 March 2018

Zhiwei Steven Wu

Alexandra Schofield

Mingyuan Zhou

Hanna M. Wallach

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Papers citing "Locally Private Bayesian Inference for Count Models"

14 / 14 papers shown

Title
Differential Privacy for Deep Learning in Medicine Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 30 0 0 31 May 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 178 1 0 12 Mar 2025
Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao P. Ju Jordan Awan Ruobin Gong Vinayak A. Rao 80 25 0 01 Jun 2022
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 88 127 0 11 Oct 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 65 11 0 18 Jul 2021
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data Aaron Schein Anjali Nagulpally Hanna M. Wallach Patrick Flaherty 44 4 0 12 Jun 2021
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Hibiki Ito A. Koskela Samuel Kaski Antti Honkela 95 31 0 01 Nov 2020
Context-Aware Local Differential Privacy Jayadev Acharya Kallista A. Bonawitz Peter Kairouz Daniel Ramage Ziteng Sun 84 36 0 31 Oct 2019
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 82 58 0 29 Oct 2019
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations Ruobin Gong 82 25 0 26 Sep 2019
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models Amrita Roy Chowdhury Theodoros Rekatsinas S. Jha 47 11 0 30 May 2019
Profile-Based Privacy for Locally Private Computations J. Geumlek Kamalika Chaudhuri 81 17 0 21 Jan 2019
Differentially Private Bayesian Inference for Exponential Families G. Bernstein Daniel Sheldon 89 48 0 06 Sep 2018
Privacy-preserving Neural Representations of Text Maximin Coavoux Shashi Narayan Shay B. Cohen AAML 66 118 0 28 Aug 2018