Differentially Private Linear Regression with Linked Data

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Differentially Private Linear Regression with Linked Data

1 August 2023

Elliot Paquette

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Papers citing "Differentially Private Linear Regression with Linked Data"

8 / 8 papers shown

Title
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 148 180 0 01 Mar 2023
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 49 54 0 10 Jul 2020
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 68 58 0 29 Oct 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 68 169 0 12 Feb 2019
Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage Xi He Ashwin Machanavajjhala Cheryl J. Flynn D. Srivastava 46 105 0 02 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 266 4,152 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 84 1,341 0 12 Jun 2012