Baker, Thar

Mitigating the Backdoor Attack by Federated Filters for Industrial IoT Applications

Hou, B., Gao, J., Guo, X., Baker, T., Zhang, Y., Wen, Y., & Liu, Z. (2022) · IEEE Transactions on Industrial Informatics

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 49

FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning

Yuan, Y., Yuan, Y., Baker, T., Kolbe, L. M., & Hogrefe, D. (2021) · Future Generation Computer Systems

Privacy-Preserving Technologies in DataInfrastructure Maintenance and Monitoring

Cited by 42

Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications

Gao, J., Zhang, B., Guo, X., Baker, T., Li, M., & Liu, Z. (2022) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 41

Clean‐label poisoning attacks on federated learning for IoT

Yang, J., Zheng, J., Baker, T., Tang, S., Tan, Y., & Zhang, Q. (2023) · Expert Systems

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 20

A federated learning attack method based on edge collaboration via cloud

Yang, J., Baker, T., Gill, S. S., Yang, X., Han, W., & Li, Y. (2024) · Software: Practice and Experience

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 11