Conference
Jul 2026
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
To mitigate the attacks of transferable adversarial examples, a defense mechanism stemming from the transferability of model robustness by adversarial training is designed, gaining insights into adversarial examples and the vulnerability of federated learning systems.
Zuobin Xiong, Deval Mukherjee, Homook Cho et al.
· International Conference on... · 0 citations