Defending against model poisoning attack in federated learning: A variance-minimization approach.
J. Inf. Secur. Appl., 2024
Attack-model-agnostic defense against model poisonings in distributed learning.
J. Inf. Secur. Appl., 2024
Hide-and-Seek: Data Sharing with Customizable Machine Learnability and Privacy.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
High-accuracy low-cost privacy-preserving federated learning in IoT systems via adaptive perturbation.
J. Inf. Secur. Appl., 2022