Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks
via Motifs

Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs

25 October 2022

Papers citing "Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs"

15 / 15 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 87 0 0 05 May 2025
Backdoor Attacks on Discrete Graph Diffusion Models Jiawen Wang Samin Karim Yuan Hong Binghui Wang DiffM 63 0 0 08 Mar 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions Xiao Yang Gaolei Li Jianhua Li AAML AI4CE 43 1 0 08 Jan 2025
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks Hao Sui Bing Chen J. Zhang Chengcheng Zhu Di Wu Qinghua Lu Guodong Long AAML 19 1 0 18 Oct 2024
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models Xiao Yang Kai Zhou Y. Lai Gaolei Li AAML 31 0 0 07 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 25 0 0 02 Oct 2024
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only Jiazhu Dai Haoyu Sun AAML 34 2 0 19 Apr 2024
Effective backdoor attack on graph neural networks in link prediction tasks Jiazhu Dai Haoyu Sun GNN 52 3 0 05 Jan 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 81 7 0 30 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 42 33 0 14 Dec 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong NING Hao Liu AAML FedML 19 3 0 17 Jun 2023
A semantic backdoor attack against Graph Convolutional Networks Jiazhu Dai Zhipeng Xiong AAML 25 8 0 28 Feb 2023
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 29 15 0 01 Feb 2022
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 26 14 0 18 Jan 2021