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"

23 / 23 papers shown

Title
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 91 12 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 99 11 0 29 Nov 2023
Fairness-aware Message Passing for Graph Neural Networks Huaisheng Zhu Guoji Fu Zhimeng Guo Zhiwei Zhang Teng Xiao Suhang Wang 79 6 0 19 Jun 2023
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 110 38 0 19 Nov 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra Peizhao Li P. Mohapatra Hongfu Liu OOD 67 22 0 04 Oct 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 81 87 0 07 Jun 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring Benedek Rozemberczki Charles Tapley Hoyt A. Gogleva Piotr Grabowski Klas Karis ... Sebastian Nilsson M. Ughetto Yu Wang Hanyu Wang Benjamin M. Gyori 64 25 0 10 Feb 2022
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 101 123 0 11 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 142 109 0 05 Jul 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 83 107 0 12 Jun 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 170 238 0 21 Apr 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 181 164 0 25 Feb 2021
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 83 68 0 16 Dec 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 93 297 0 15 Jun 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 85 90 0 22 Apr 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 76 81 0 15 Apr 2020
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 82 79 0 30 Oct 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 250 3,188 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,695 0 14 Oct 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 184 361 0 02 Mar 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,369 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 682 29,183 0 09 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 889 9,364 0 06 Jun 2015