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

Jinyuan Jia, Zhuowen Yuan, D. Sahabandu, Luyao Niu, Arezoo Rajabi +3 more
2/12/2026

No official code found. Best implementation: AI-secure/FedGame (13 stars, MIT, last commit 2024-10-25).

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Code Implementations(1)

AI-secure/FedGameCommunity54%
MIT

Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).

130HTML, PythonOct 12, 20231 years agoMIT

Cite this paper

@article{jia2026fedgame,
  title  = {FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning},
  author = {Jinyuan Jia and Zhuowen Yuan and D. Sahabandu and Luyao Niu and Arezoo Rajabi and Bhaskar Ramasubramanian and Bo Li and R. Poovendran},
  year   = {2026},
  doi    = {10.52202/075280-2310},
  url    = {https://doi.org/10.52202/075280-2310},
  journal = {NEURIPS 2023 2023}
}

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