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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"

3 / 3 papers shown

Title
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 83 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 63 2 0 14 Nov 2023
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy Ryan Rogers FedML 78 1 0 17 Sep 2023