Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

5 June 2024

Papers citing "Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections"

6 / 6 papers shown

Title
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 19 8 0 19 Mar 2024
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation Yuchang Zhu Jintang Li Liang Chen Zibin Zheng 35 9 0 29 Nov 2023
Fairness-aware Message Passing for Graph Neural Networks Huaisheng Zhu Guoji Fu Zhimeng Guo Zhiwei Zhang Teng Xiao Suhang Wang 16 6 0 19 Jun 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 98 0 16 May 2022
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 96 228 0 21 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015