Minghong Fang
I am a tenure-track Assistant Professor in the Department of Computer Science and Engineering at University of Louisville. From 2022 to 2024, I was a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University. I received my Ph.D. in Electrical and Computer Engineering from The Ohio State University in August 2022. My research broadly focuses on various aspects of AI safety and security.
Honors and Awards
- ICLR 2025 Notable Reviewers
- IFIP Networking Best Paper Runner-up Award, 2024
- NDSS’21 paper measured as Top-cited Security Papers from 2021
- USENIX Security Symposium’20 paper measured as one of the Normalized Top-100 Security Papers since 1981
Selected Publications [Full List]
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Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation PDF
Baolei Zhang*, Haoran Xin*, Yuxi Chen, Zhuqing Liu, Biao Yi, Tong Li, Lihai Nie, Zheli Liu, and Minghong Fang
In Proc. IEEE Symposium on Security and Privacy, 2026 (*co-primary authors, acceptance rate: 13%)
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Do We Really Need to Design New Byzantine-robust Aggregation Rules? PDF
Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundararaja Sitharama Iyengar, and Haibo Yang
In Proc. NDSS, 2025 (acceptance rate: 16.1%)
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Byzantine-Robust Decentralized Federated Learning PDF
Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, and Neil Gong
In Proc. ACM CCS, 2024 (acceptance rate: 16.9%)
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Local Model Poisoning Attacks to Byzantine-Robust Federated Learning PDF Code
Minghong Fang*, Xiaoyu Cao*, Jinyuan Jia, and Neil Zhenqiang Gong
In Proc. USENIX Security Symposium, 2020 (*co-primary authors, acceptance rate: 16.1%)