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Minghong Fang

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Articles

Computer Science > Cryptography and Security

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By Yueyang Quan, Zhuqing Liu, Minghong Fang
| arxiv.org
Large language models have enabled powerful code completion systems that assist developers by predicting subsequent lines of code. However, these models remain vulnerable to backdoor attacks, where malicious fine-tuning data covertly implants unsafe behaviors. Despite advances in defensive techniques, adaptive and sophisticated backdoor attacks still evade detection and mitigation.
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Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning

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By Zhiyuan Li, Minghong Fang, Mingwei Fang
| arxiv.org
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[2505.09110] Toward Malicious Clients Detection in Federated Learning

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By Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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