Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms

3 April 2022

Papers citing "Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms"

11 / 11 papers shown

Title
Asymptotic utility of spectral anonymization Katariina Perkonoja Joni Virta 36 0 0 28 May 2024
Differentially private projection-depth-based medians Kelly Ramsay Dylan Spicker 6 2 0 12 Dec 2023
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy Yingyu Lin Yian Ma Yu-Xiang Wang Rachel Redberg Zhiqi Bu 15 4 0 23 Oct 2023
Differentially Private Statistical Inference through $β$ -Divergence One Posterior Sampling Jack Jewson Sahra Ghalebikesabi Chris Holmes 25 2 0 11 Jul 2023
Differentially Private Topological Data Analysis Taegyu Kang Sehwan Kim Jinwon Sohn Jordan Awan 19 3 0 05 May 2023
Integer Subspace Differential Privacy Prathamesh Dharangutte Jie Gao Ruobin Gong Fang-Yi Yu 10 6 0 02 Dec 2022
Differentially private multivariate medians Kelly Ramsay Aukosh Jagannath Shojaéddin Chenouri 20 4 0 12 Oct 2022
Shape And Structure Preserving Differential Privacy Carlos Soto Karthik Bharath M. Reimherr Aleksandra B. Slavkovic 19 7 0 21 Sep 2022
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 11 26 0 06 May 2022
Formal Privacy for Partially Private Data Jeremy Seeman M. Reimherr Aleksandra B. Slavkovic 25 3 0 03 Apr 2022
Privacy-Aware Rejection Sampling Jordan Awan Vinayak A. Rao 24 7 0 02 Aug 2021