Author

Xinjin Ge

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2026

Spa: Stealthy and Persistent Backdoor Attacks in Federated Learning via Feature-Space Alignment

Federated Learning (FL) has emerged as a leading paradigm for privacy-preserving machine learning, yet the distributed nature of FL introduces unique security challenges, notably the threat of backdoor attacks. However, existing attack strategies face a critical limitation: reliance on end-to-end supervision creates a...

Chengcheng Zhu, Ye Li, Bosen Rao et al. · IEEE Transactions on Informa... · 0 citations

Preprint Aug 2026

Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints

DPA is grounded in a critical insight: regardless of fine-tuning tactics to evade provenance, the practical necessity of maintaining utility constrains the model to preserve the fundamental intersection of semantic substance and lexical form, and captures this persistent lexical-semantic intersection as intrinsic distr...

Zirui Huang, Yunlong Mao, Wei Tong et al. · 0 citations