Near Optimal Private and Robust Linear Regression

30 January 2023

Papers citing "Near Optimal Private and Robust Linear Regression"

7 / 7 papers shown

Title
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation Gavin Brown Krishnamurthy Dvijotham Georgina Evans Daogao Liu Adam D. Smith Abhradeep Thakurta 34 3 0 21 Feb 2024
DPZero: Private Fine-Tuning of Language Models without Backpropagation Liang Zhang Bingcong Li K. K. Thekumparampil Sewoong Oh Niao He 28 11 0 14 Oct 2023
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model Liyang Zhu Meng Ding Vaneet Aggarwal Jinhui Xu Di Wang 14 4 0 11 Oct 2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo Krishnamurthy Dvijotham Krishna Pillutla Arun Ganesh Thomas Steinke Abhradeep Thakurta 17 13 0 10 Oct 2023
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Yun Lu Malik Magdon-Ismail Yu Wei Vassilis Zikas 17 0 0 03 Sep 2023
(Nearly) Optimal Private Linear Regression via Adaptive Clipping Prateeksha Varshney Abhradeep Thakurta Prateek Jain 33 8 0 11 Jul 2022
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 37 75 0 18 Feb 2021