Comparing Population Means under Local Differential Privacy: with Significance and Power

24 March 2018

Papers citing "Comparing Population Means under Local Differential Privacy: with Significance and Power"

8 / 8 papers shown

Title
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
The Test of Tests: A Framework For Differentially Private Hypothesis Testing Zeki Kazan Kaiyan Shi Adam Groce Andrew Bray 25 9 0 08 Feb 2023
Decentralized Collaborative Learning with Probabilistic Data Protection T. Idé Raymond H. Putra FedML 30 2 0 23 Aug 2022
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach R. Friedberg Ryan M. Rogers 29 3 0 17 Aug 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation Hajime Ono Kazuhiro Minami H. Hino 16 0 0 15 Feb 2022
Locally Differentially Private Minimum Finding Kazuto Fukuchi Chia-Mu Yu Arashi Haishima Jun Sakuma FedML 23 0 0 27 May 2019
MOBIUS: Model-Oblivious Binarized Neural Networks Hiromasa Kitai Jason Paul Cruz Naoto Yanai Naohisa Nishida Tatsumi Oba Yuji Unagami Tadanori Teruya Nuttapong Attrapadung Takahiro Matsuda Goichiro Hanaoka 24 7 0 29 Nov 2018
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 45 138 0 07 Feb 2016