v1v2 (latest)

Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain

7 March 2018

Papers citing "Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain"

25 / 25 papers shown

Title
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches Omri Lev Vishwak Srinivasan Moshe Shenfeld Katrina Ligett Ayush Sekhari Ashia Wilson 22 0 0 30 May 2025
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 169 1 0 28 Jan 2025
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 162 0 0 30 Nov 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 87 3 0 15 Oct 2024
PRIMO: Private Regression in Multiple Outcomes Seth Neel 78 0 0 07 Mar 2023
ReSQueing Parallel and Private Stochastic Convex Optimization Y. Carmon A. Jambulapati Yujia Jin Y. Lee Daogao Liu Aaron Sidford Kevin Tian FedML 85 14 0 01 Jan 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy Rachel Redberg Yuqing Zhu Yu Wang 85 7 0 31 Dec 2022
Differentially Private Image Classification from Features Harsh Mehta Walid Krichene Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky 113 8 0 24 Nov 2022
Easy Differentially Private Linear Regression Kareem Amin Matthew Joseph Mónica Ribero Sergei Vassilvitskii FedML 67 17 0 15 Aug 2022
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression Jayshree Sarathy Salil P. Vadhan 64 7 0 27 Jul 2022
Differentially Private Estimation via Statistical Depth Ryan Cumings-Menon 45 3 0 26 Jul 2022
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi Salil P. Vadhan FedML 73 13 0 29 Jun 2022
DP-PCA: Statistically Optimal and Differentially Private PCA Xiyang Liu Weihao Kong Prateek Jain Sewoong Oh 130 24 0 27 May 2022
Private Convex Optimization via Exponential Mechanism Sivakanth Gopi Y. Lee Daogao Liu 141 55 0 01 Mar 2022
Differentially Private Nonparametric Regression Under a Growth Condition Noah Golowich 53 6 0 24 Nov 2021
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington Xi He James Honaker Gautam Kamath 99 26 0 27 Oct 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 65 11 0 18 Jul 2021
Differentially private inference via noisy optimization Marco Avella-Medina Casey Bradshaw Po-Ling Loh FedML 98 31 0 19 Mar 2021
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Hibiki Ito A. Koskela Samuel Kaski Antti Honkela 92 31 0 01 Nov 2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 83 80 0 11 Sep 2020
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 53 56 0 10 Jul 2020
A One-Pass Private Sketch for Most Machine Learning Tasks Benjamin Coleman Anshumali Shrivastava SyDa 57 5 0 16 Jun 2020
Parametric Bootstrap for Differentially Private Confidence Intervals Cecilia Ferrando Shufan Wang Daniel Sheldon 70 40 0 14 Jun 2020
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 82 58 0 29 Oct 2019
Differentially Private False Discovery Rate Control Cynthia Dwork Weijie J. Su Li Zhang 74 23 0 11 Jul 2018