Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners

31 December 2023

Papers citing "Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners"

3 / 3 papers shown

Title
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra Sajin Sasy Xi He Gautam Kamath Om Thakkar 114 32 0 09 Nov 2021
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 135 120 0 07 Oct 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 184 154 0 26 Feb 2021