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]
@inproceedings{Lu00ZGS24,
title = {FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning},
author = {Qing Lu and Miao Hu 0001 and Di Wu 0001 and Yipeng Zhou and Mohsen Guizani and Quan Z. Sheng},
year = {2024},
doi = {10.1109/ICDM59182.2024.00094},
url = {https://doi.org/10.1109/ICDM59182.2024.00094},
researchr = {https://researchr.org/publication/Lu00ZGS24},
cites = {0},
citedby = {0},
pages = {791-796},
booktitle = {IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024},
editor = {Elena Baralis and Kun Zhang 0001 and Ernesto Damiani and Mérouane Debbah and Panos Kalnis and Xindong Wu 0001},
publisher = {IEEE},
isbn = {979-8-3315-0668-1},
}