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Peishen Yan

2 accepted papers

2025

Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment

ICCV 2025poster

The distributed nature of federated learning exposes it to significant security threats, among which backdoor attacks are one of the most prevalent. However, existing backdoor attacks face a trade-off between attack strength and stealthiness: attacks maximizing the attack strength are often detectab…

2024

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks

ECCV 2024poster

"Federated Learning (FL) is becoming a popular paradigm for leveraging distributed data and preserving data privacy. However, due to the distributed characteristic, FL systems are vulnerable to Byzantine attacks that compromised clients attack the global model by uploading malicious model updates. W…