Information-theoretic metrics for Local Differential Privacy protocols

17 October 2019

Papers citing "Information-theoretic metrics for Local Differential Privacy protocols"

8 / 8 papers shown

Title
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization Wenrui Yu Qiongxiu Li Milan Lopuhaä-Zwakenberg Mads Græsbøll Christensen Richard Heusdens FedML 80 4 0 12 Jul 2024
SOK: Privacy Definitions and Classical Mechanisms in the Local Setting Nan Wang Likun Qin Tianshuo Qiu 13 0 0 26 Aug 2023
Detecting Anomalous LAN Activities under Differential Privacy Norrathep Rattanavipanon Donlapark Ponnoprat H. Ochiai Kuljaree Tantayakul T. Angchuan S. Kamolphiwong 23 0 0 14 Apr 2022
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization Qiongxiu Li Richard Heusdens M. G. Christensen 24 15 0 30 May 2021
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms Qiongxiu Li Jaron Skovsted Gundersen Richard Heusdens M. G. Christensen 74 33 0 02 Sep 2020
Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees Milan Lopuhaä-Zwakenberg Haochen Tong B. Škorić 40 6 0 30 Aug 2020
The Privacy Funnel from the viewpoint of Local Differential Privacy Milan Lopuhaä-Zwakenberg FedML 83 6 0 04 Feb 2020
Improving Frequency Estimation under Local Differential Privacy Milan Lopuhaä-Zwakenberg Zitao Li B. Škorić Ninghui Li 35 1 0 24 Nov 2019