On Differentially Private Subspace Estimation in a Distribution-Free Setting

9 February 2024

Papers citing "On Differentially Private Subspace Estimation in a Distribution-Free Setting"

4 / 4 papers shown

Title
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li Daogao Liu Tatsunori Hashimoto Huseyin A. Inan Janardhan Kulkarni Y. Lee Abhradeep Thakurta 52 58 0 01 Jul 2022
Private Robust Estimation by Stabilizing Convex Relaxations Pravesh Kothari Pasin Manurangsi A. Velingker 48 46 0 07 Dec 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 67 40 0 08 Nov 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 101 113 0 25 Feb 2021