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Minghong Fang

Postdoctoral Associate

Minghong Fang

I'm a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University, 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.

I am on the 2023-24 job market!

Honors and Awards

  • USENIX Security Symposium’20 paper measured as one of the Normalized Top-100 Security Papers since 1981.
  • The Web Conference Student Travel Grant, 2021.
  • IEEE ICC Student Travel Grant, 2020.
  • Research Excellence Award, Iowa State University, 2020.
  • ACSAC Student Conferenceship Award, 2018.

Selected Publications [Full List]

  • Poisoning Federated Recommender Systems with Fake Users. Created with Fabric.js 1.7.22 PDF

    Ming Yin*, Yichang Xu*, Minghong Fang, Neil Zhenqiang Gong.

    In Proc. The Web Conference (WWW), 2024 (*co-primary authors, acceptance rate: 20.2%).

    Ming Yin and Yichang Xu are undergraduate students mentored by me.

  • Data Poisoning Attacks and Defenses to Crowdsourcing Systems. Created with Fabric.js 1.7.22 PDF

    Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, and Jia Liu.

    In Proc. The Web Conference (WWW), 2021 (acceptance rate: 20.6%).

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

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

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

  • Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. Created with Fabric.js 1.7.22 PDF

    Minghong Fang, Neil Zhenqiang Gong, and Jia Liu.

    In Proc. The Web Conference (WWW), 2020 (acceptance rate: 25%).

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

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

    In Proc. USENIX Security Symposium, 2020 (*co-primary authors, acceptance rate: 16.1%).

    Measured as one of the Normalized Top-100 Security Papers since 1981.