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

23 March 2016

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

7 / 7 papers shown

Title
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 111 0 0 30 Nov 2024
PRIMO: Private Regression in Multiple Outcomes Seth Neel 49 0 0 07 Mar 2023
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu Wang S. Fienberg Alex Smola 54 248 0 26 Feb 2015
Tuned Models of Peer Assessment in MOOCs Chris Piech Jonathan Huang Zhenghao Chen Chuong B. Do A. Ng D. Koller HAI 57 402 0 09 Jul 2013
Bayesian Differential Privacy through Posterior Sampling Christos Dimitrakakis B. Nelson and Zuhe Zhang Aikaterini Mitrokotsa Benjamin I. P. Rubinstein 60 118 0 05 Jun 2013
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy Ninghui Li Wahbeh H. Qardaji D. Su 92 277 0 13 Jan 2011
A New Generalization of Chebyshev Inequality for Random Vectors Xinjiao Chen 247 65 0 05 Jul 2007