Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo

26 February 2015

Papers citing "Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo"

13 / 13 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
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Hibiki Ito Antti Honkela 90 0 0 25 Oct 2024
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle Yu Wang Jing Lei S. Fienberg 55 103 0 23 Feb 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics Sebastian J. Vollmer K. Zygalakis and Yee Whye Teh 76 49 0 02 Jan 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 60 375 0 10 Nov 2014
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds Raef Bassily Adam D. Smith Abhradeep Thakurta FedML 111 371 0 27 May 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 102 906 0 17 Feb 2014
Bayesian Differential Privacy through Posterior Sampling Christos Dimitrakakis B. Nelson and Zuhe Zhang Aikaterini Mitrokotsa Benjamin I. P. Rubinstein 63 118 0 05 Jun 2013
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 77 305 0 27 Jun 2012
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 95 1,482 0 01 Dec 2009
Efficient, Differentially Private Point Estimators Adam D. Smith FedML 71 78 0 27 Sep 2008
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 78 166 0 27 Mar 2008
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 346 2,117 0 30 May 2007