A Distributed Fair Machine Learning Framework with Private Demographic Data Protection

17 September 2019

Papers citing "A Distributed Fair Machine Learning Framework with Private Demographic Data Protection"

7 / 7 papers shown

Title
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 47 1 0 03 Jul 2024
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 21 1 0 22 Feb 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 53 11 0 30 Jan 2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 33 7 0 29 Sep 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 491 0 31 Dec 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016