Benefits and Pitfalls of the Exponential Mechanism with Applications to
Hilbert Spaces and Functional PCA

Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA

30 January 2019

Aleksandra B. Slavkovic

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Papers citing "Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA"

17 / 17 papers shown

Title
Conformal-DP: Data Density Aware Privacy on Riemannian Manifolds via Conformal Transformation Peilin He Liou Tang M. Amin Rahimian James Joshi 80 0 0 29 Apr 2025
Pure Differential Privacy for Functional Summaries via a Laplace-like Process Haotian Lin M. Reimherr 61 0 0 31 Aug 2023
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies Zhanyu Wang Guang Cheng Jordan Awan 92 9 0 12 Oct 2022
Shape And Structure Preserving Differential Privacy Carlos Soto Karthik Bharath M. Reimherr Aleksandra B. Slavkovic 54 8 0 21 Sep 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy Jordan Awan Jinshuo Dong 47 10 0 09 Jun 2022
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 42 27 0 06 May 2022
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms Jeremy Seeman M. Reimherr Aleksandra B. Slavkovic 81 11 0 03 Apr 2022
Private Convex Optimization via Exponential Mechanism Sivakanth Gopi Y. Lee Daogao Liu 141 55 0 01 Mar 2022
Differential Privacy Over Riemannian Manifolds M. Reimherr Karthik Bharath Carlos Soto 61 19 0 03 Nov 2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy Aleksandra B. Slavkovic Roberto Molinari 47 5 0 05 Aug 2021
Privacy-Aware Rejection Sampling Jordan Awan Vinayak A. Rao 63 7 0 02 Aug 2021
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC Arun Ganesh Kunal Talwar FedML 81 41 0 27 Oct 2020
Permute-and-Flip: A new mechanism for differentially private selection Ryan McKenna Daniel Sheldon 183 52 0 23 Oct 2020
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism Andrés Munoz Medina Jennifer Gillenwater 61 9 0 08 Oct 2020
Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments Kenneth Choi Tony Lee 33 2 0 30 Dec 2019
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 74 23 0 23 May 2019
Elliptical Perturbations for Differential Privacy M. Reimherr Jordan Awan 57 12 0 23 May 2019