Safety in Graph Machine Learning: Threats and Safeguards

17 May 2024

Papers citing "Safety in Graph Machine Learning: Threats and Safeguards"

22 / 22 papers shown

Title
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 69 1 0 24 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 52 0 0 22 Feb 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 72 2 0 07 Jan 2025
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 63 7 0 02 Jul 2024
Certified Defense on the Fairness of Graph Neural Networks Yushun Dong Binchi Zhang Hanghang Tong Jundong Li 173 3 0 05 Nov 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao Xiao Luo Meng Xiao Hao Dong Yuanchun Zhou Hui Xiong OOD 87 26 0 19 Sep 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 208 0 31 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Yangqiu Song Jian Pei 47 104 0 16 May 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 111 225 0 30 Jan 2022
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks Guannan Lou Yuze Liu Tiehua Zhang Xi Zheng FedML 68 14 0 12 Nov 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 190 20 0 11 Nov 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 82 32 0 13 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 278 0 28 Sep 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 119 171 0 16 Feb 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
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
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 114 130 0 07 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 179 9,357 0 28 May 2015