DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection

5 January 2023

Papers citing "DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection"

4 / 4 papers shown

Title
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 27 0 0 08 Mar 2024
Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 19 2 0 14 Nov 2023
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy Ryan Rogers FedML 17 1 0 17 Sep 2023
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018