Author

Xingshuo Han

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2026

Data Poisoning Detection for Secure Federated Learning With Dropout-Resilient Aggregation

Federated learning (FL) enables multiple clients to train a global model collaboratively without sharing their raw data. However, compromised clients can launch data poisoning attacks by submitting malicious local updates and thereby degrade model accuracy. In addition, unprotected model updates may disclose sensitive...

Jia-Yin Li, Shengmin Xu, Xing-Shuo Han et al. · IEEE Transactions on Network... · 0 citations

Jul 2026

Defense Against LLM Backdoors using Critical Neuron Isolation Pruning

DeCNIP (Defense with Critical Neuron Isolation Pruning), which leverages representational analysis to identify and neutralize backdoors in a unified pipeline, is introduced, which achieves over 95% relative reduction in Attack Success Rate (ASR), outperforming seven state-of-the-art defenses with only 0.1% neuron inter...

Yuxi Li, Zhi-Bo Zhang, Kailong Wang et al. · arXiv.org · 0 citations