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cs.CR2026
FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting
Zhenyan Liu, Hua Zhang, Haoran Gao +6
Multimodal data collected by heterogeneous devices are used for collaborative training, where federated learning (FL) serves as a key paradigm for effective distributed modeling wi…
cs.CR2025
Isolate Trigger: Detecting and Eliminating Adaptive Backdoor Attacks
Chengrui Sun, Hua Zhang, Haoran Gao +7
Deep learning models are widely deployed in various applications but remain vulnerable to stealthy adversarial threats, particularly backdoor attacks. Backdoor models trained on po…