Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks

30 January 2023

Papers citing "Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks"

15 / 15 papers shown

Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 53 0 0 08 Mar 2025
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 42 8 0 21 Jun 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts Xin-Yang Zheng Dongjin Song Qingsong Wen Bo Du Shirui Pan 34 6 0 15 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 70 7 0 26 Feb 2024
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Haishuai Wang Khoa T. Phan Yi-Ping Phoebe Chen Shirui Pan Wei Xiang AI4TS 34 14 0 11 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 61 6 0 13 Dec 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels Xin-Yang Zheng Miao Zhang C. Chen Soheila Molaei Chuan Zhou Shirui Pan GNN 34 14 0 23 Oct 2023
Large Language Models for Scientific Synthesis, Inference and Explanation Yizhen Zheng Huan Yee Koh Jiaxin Ju A. T. Nguyen Lauren T. May Geoffrey I. Webb Shirui Pan ELM 51 31 0 12 Oct 2023
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation Yicheng Wu Zhonghua Wu Hengcan Shi Bjoern Picker W. Chong Jianfei Cai OOD 32 5 0 10 Jul 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 31 33 0 13 Jun 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 34 45 0 01 Feb 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 44 4 0 25 Jan 2022
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 55 53 0 24 Oct 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020