FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning

Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran. FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{JiaYSNRRLP23,
  title = {FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning},
  author = {Jinyuan Jia and Zhuowen Yuan and Dinuka Sahabandu and Luyao Niu and Arezoo Rajabi and Bhaskar Ramasubramanian and Bo Li and Radha Poovendran},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/a6678e2be4ce7aef9d2192e03cd586b7-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/JiaYSNRRLP23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}