A Comprehensive Survey on Local Differential Privacy Toward Data
Statistics and Analysis

A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis

11 October 2020

Xuefeng Zhang

Papers citing "A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis"

10 / 10 papers shown

Title
Gaussian Differential Private Bootstrap by Subsampling Holger Dette Carina Graw 35 0 0 02 May 2025
From Theory to Comprehension: A Comparative Study of Differential Privacy and $k$ -Anonymity Saskia Nuñez von Voigt Luise Mehner Florian Tschorsch 37 1 0 05 Apr 2024
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 65 4 0 01 Aug 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 16 0 0 01 Jul 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy Timour Igamberdiev Ivan Habernal 15 17 0 15 Feb 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 15 18 0 22 Jan 2023
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 21 46 0 23 Aug 2022
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 101 118 0 09 Feb 2021
Quantifying Differential Privacy under Temporal Correlations Yang Cao Masatoshi Yoshikawa Yonghui Xiao Li Xiong 54 103 0 24 Oct 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 45 137 0 07 Feb 2016