FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning - researchr publication authors

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Qing Lu, Miao Hu 0001, Di Wu 0001, Yipeng Zhou, Mohsen Guizani, Quan Z. Sheng. FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning. In Elena Baralis, Kun Zhang 0001, Ernesto Damiani, Mérouane Debbah, Panos Kalnis, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. pages 791-796, IEEE, 2024. [doi]

This author has not been identified. Look up 'Qing Lu' in GoogleThis author has not been identified. Look up 'Miao Hu 0001' in GoogleThis author has not been identified. Look up 'Di Wu 0001' in GoogleThis author has not been identified. Look up 'Yipeng Zhou' in GoogleThis author has not been identified. Look up 'Mohsen Guizani' in GoogleThis author has not been identified. Look up 'Quan Z. Sheng' in Google

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