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Differentially Private Ordinary Least Squares

9 July 2015

Papers citing "Differentially Private Ordinary Least Squares"

43 / 43 papers shown

Title
Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning Dustin Ray Caroline El Jazmi 15 0 0 13 Jun 2025
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
Optimal Learners for Realizable Regression: PAC Learning and Online Learning Idan Attias Steve Hanneke Alkis Kalavasis Amin Karbasi Grigoris Velegkas 102 21 0 07 Jul 2023
The Test of Tests: A Framework For Differentially Private Hypothesis Testing Zeki Kazan Kaiyan Shi Adam Groce Andrew Bray 56 9 0 08 Feb 2023
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies Zhanyu Wang Guang Cheng Jordan Awan 92 9 0 12 Oct 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
Differentially Private Multi-Party Data Release for Linear Regression Ruihan Wu Xin Yang Yuanshun Yao Jiankai Sun Tianyi Liu Kilian Q. Weinberger C. Wang 44 2 0 16 Jun 2022
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints Justin Whitehouse Zhiwei Steven Wu Aaditya Ramdas Ryan M. Rogers 74 10 0 15 Jun 2022
Universal Private Estimators Wei Dong K. Yi 81 20 0 04 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 Variable Selection via the Knockoff Filter Mehrdad Pournaderi Yu Xiang 59 2 0 12 Sep 2021
Canonical Noise Distributions and Private Hypothesis Tests Jordan Awan Salil P. Vadhan 92 11 0 09 Aug 2021
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space Lun Wang I. Pinelis Basel Alomair 65 17 0 26 May 2021
Robust Testing and Estimation under Manipulation Attacks Jayadev Acharya Ziteng Sun Huanyu Zhang AAML 103 10 0 21 Apr 2021
Differentially private inference via noisy optimization Marco Avella-Medina Casey Bradshaw Po-Ling Loh FedML 98 31 0 19 Mar 2021
Private Prediction Sets Anastasios Nikolas Angelopoulos Stephen Bates Tijana Zrnic Michael I. Jordan 94 12 0 11 Feb 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
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 107 88 0 11 Oct 2020
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 53 56 0 10 Jul 2020
Parametric Bootstrap for Differentially Private Confidence Intervals Cecilia Ferrando Shufan Wang Daniel Sheldon 70 40 0 14 Jun 2020
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 83 60 0 14 Apr 2020
Differentially Private Confidence Intervals Wenxin Du C. Foot Monica Moniot Andrew Bray Adam Groce 79 46 0 07 Jan 2020
Privacy-preserving parametric inference: a case for robust statistics Marco Avella-Medina 57 52 0 22 Nov 2019
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 82 58 0 29 Oct 2019
Differentially private sub-Gaussian location estimators Marco Avella-Medina Victor-Emmanuel Brunel 60 18 0 27 Jun 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters Jayadev Acharya Ziteng Sun 98 60 0 28 May 2019
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 74 23 0 23 May 2019
Differentially Private Inference for Binomial Data Jordan Awan Aleksandra B. Slavkovic 43 24 0 31 Mar 2019
Differentially Private Nonparametric Hypothesis Testing Simon Couch Zeki Kazan Kaiyan Shi Andrew Bray Adam Groce 52 44 0 22 Mar 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 135 169 0 12 Feb 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA Jordan Awan Ana M. Kenney M. Reimherr Aleksandra B. Slavkovic 49 35 0 30 Jan 2019
Utility Preserving Secure Private Data Release J. Dhaliwal Geoffrey So Aleatha Parker-Wood Mélanie Beck 131 2 0 28 Jan 2019
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 60 53 0 23 May 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 109 152 0 01 May 2018
Differentially Private Confidence Intervals for Empirical Risk Minimization Yue Wang Daniel Kifer Jaewoo Lee 72 35 0 11 Apr 2018
Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain Yu Wang 75 99 0 07 Mar 2018
Locally Private Hypothesis Testing Or Sheffet 77 52 0 09 Feb 2018
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 81 195 0 10 Nov 2017
Per-instance Differential Privacy Yu Wang 110 5 0 24 Jul 2017
Preserving Differential Privacy Between Features in Distributed Estimation C. Heinze-Deml Brian McWilliams N. Meinshausen 74 7 0 01 Mar 2017
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 147 83 0 13 Apr 2016