The following publications are possibly variants of this publication:
- FederatedReverse: A Detection and Defense Method Against Backdoor Attacks in Federated LearningChen Zhao, Yu Wen, Shuailou Li, Fucheng Liu, Dan Meng. ih 2021: 51-62 [doi]
- Edge-Cloud Collaborative Defense against Backdoor Attacks in Federated LearningJie Yang, Jun Zheng 0007, Haochen Wang, Jiaxing Li, Haipeng Sun, Weifeng Han, Nan Jiang, Yu-an Tan 0001. sensors, 23(3):1052, February 2023. [doi]
- FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated LearningJinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran. nips 2023: [doi]
- An Investigation of Recent Backdoor Attacks and Defenses in Federated LearningQiuxian Chen, Yizheng Tao. fmec 2023: 262-269 [doi]
- Against Backdoor Attacks In Federated Learning With Differential PrivacyLu Miao, Wei Yang, Rong Hu, Lu Li, Liusheng Huang. icassp 2022: 2999-3003 [doi]
- DBA: Distributed Backdoor Attacks against Federated LearningChulin Xie, Keli Huang, Pin-Yu Chen, Bo Li. iclr 2020: [doi]
- Backdoor Attacks and Defenses in Federated Learning: State-of-the-Art, Taxonomy, and Future DirectionsXueluan Gong, Yanjiao Chen, Qian Wang 0002, Weihan Kong. wc, 30(2):114-121, April 2023. [doi]