Skip to content
Rounded image

Minghong Fang

Assistant Professor

Minghong Fang

I am a tenure-track Assistant Professor in the Department of Computer Science and Engineering at University of Louisville. I was a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University from 2022 to 2024, working with Dr. Neil Gong. I obtained my Ph.D. degree from the Department of Electrical and Computer Engineering at The Ohio State University in August 2022, advised by Dr. Jia (Kevin) Liu. I am broadly interested in different areas of security, privacy, and machine learning.

[Recruiting PhDs & Interns]: I am actively looking for highly motivated students for Ph.D. positions and research internships. Please email me with your CV and transcripts if you are interested!

Honors and Awards

Selected Publications [Full List]

  • Do We Really Need to Design New Byzantine-robust Aggregation Rules?. Created with Fabric.js 1.7.22 PDF

    Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundararaja Sitharama Iyengar, and Haibo Yang.

    In Proc. NDSS, 2025 (acceptance rate: 16.1%).

  • Byzantine-Robust Decentralized Federated Learning. Created with Fabric.js 1.7.22 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%).

  • FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. Created with Fabric.js 1.7.22 PDF Code

    Xiaoyu Cao*, Minghong Fang*, Jia Liu, and Neil Zhenqiang Gong.

    In Proc. NDSS, 2021 (*co-primary authors, acceptance rate: 15.2%).

  • Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. Created with Fabric.js 1.7.22 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%).

    Normalized Top-100 Security Papers since 1981