FedDefender: Backdoor Attack Defense in Federated Learning

Waris Gill, Ali Anwar 0001, Muhammad Ali Gulzar. FedDefender: Backdoor Attack Defense in Federated Learning. In Marsha Chechik, Sebastian G. Elbaum, Boyue Caroline Hu, Lina Marsso, Meriel von Stein, editors, Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, SE4SafeML 2023, San Francisco, CA, USA, 4 December 2023. pages 6-9, ACM, 2023. [doi]

@inproceedings{Gill0G23,
  title = {FedDefender: Backdoor Attack Defense in Federated Learning},
  author = {Waris Gill and Ali Anwar 0001 and Muhammad Ali Gulzar},
  year = {2023},
  doi = {10.1145/3617574.3617858},
  url = {https://doi.org/10.1145/3617574.3617858},
  researchr = {https://researchr.org/publication/Gill0G23},
  cites = {0},
  citedby = {0},
  pages = {6-9},
  booktitle = {Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, SE4SafeML 2023, San Francisco, CA, USA, 4 December 2023},
  editor = {Marsha Chechik and Sebastian G. Elbaum and Boyue Caroline Hu and Lina Marsso and Meriel von Stein},
  publisher = {ACM},
}