Publications [Google Scholar]
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Benchmarking Poisoning Attacks against Retrieval-Augmented Generation PDF
Baolei Zhang*, Haoran Xin*, Jiatong Li*, Dongzhe Zhang*, Minghong Fang, Zhuqing Liu, Lihai Nie, and Zheli Liu
Preprint, 2025 (*co-primary authors)
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Practical Poisoning Attacks against Retrieval-Augmented Generation PDF
Baolei Zhang, Yuxi Chen, Minghong Fang, Zhuqing Liu, Lihai Nie, Tong Li, and Zheli Liu
Preprint, 2025
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Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning PDF
Wenjin Mo*, Zhiyuan Li*, Minghong Fang, and Mingwei Fang
In Proc. ICCV, 2025 (*co-primary authors, acceptance rate: 24%)
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Toward Malicious Clients Detection in Federated Learning PDF
Zhihao Dou*, Jiaqi Wang*, Wei Sun, Zhuqing Liu, and Minghong Fang
In Proc. ACM AsiaCCS, 2025 (*co-primary authors, acceptance rate: 20.4%)
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Model Poisoning Attacks to Federated Learning via Multi-Round Consistency PDF
Yueqi Xie, Minghong Fang, and Neil Zhenqiang Gong
In Proc. CVPR, 2025 (acceptance rate: 22.1%)
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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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Traceback of Poisoning Attacks to Retrieval-Augmented Generation PDF
Baolei Zhang*, Haoran Xin*, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, and Zheli Liu
In Proc. The Web Conference (WWW), 2025 (*co-primary authors, acceptance rate: 19.8%)
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Provably Robust Federated Reinforcement Learning PDF
Minghong Fang*, Xilong Wang*, and Neil Zhenqiang Gong
In Proc. The Web Conference (WWW), 2025 (*co-primary authors)
Oral Presentation (acceptance rate: 7.5%)
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Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing PDF
Minghong Fang, Zhuqing Liu, Xuecen Zhao, and Jia Liu
In Proc. The Web Conference (WWW), 2025
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Poisoning Attacks and Defenses to Federated Unlearning PDF
Wenbin Wang*, Qiwen Ma*, Zifan Zhang, Yuchen Liu, Zhuqing Liu, and Minghong Fang
In Proc. The Web Conference (WWW), 2025 (*co-primary authors)
🎙️ Media Coverage: Devdiscourse
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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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On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks PDF
Hairi*, Minghong Fang*, Zifan Zhang, Alvaro Velasquez, and Jia Liu
In Proc. WiOpt, 2024 (*co-primary authors)
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Adversarial Attacks to Multi-Modal Models PDF
Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, and Minghong Fang
In Proc. ACM LAMPS, 2024
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Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks PDF
Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, and Yuchen Liu
In IEEE Internet of Things Journal, 2024
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Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation PDF
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, and Jia Liu
In Proc. ICML, 2024 (acceptance rate: 27.5%)
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Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction PDF
Zifan Zhang, Minghong Fang, Jiayuan Huang, and Yuchen Liu
In Proc. IFIP Networking, 2024 (acceptance rate: 24.6%)
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Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning PDF
Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, and Neil Zhenqiang Gong
Preprint, 2024
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Poisoning Federated Recommender Systems with Fake Users PDF
Ming Yin*, Yichang Xu*, Minghong Fang, and Neil Zhenqiang Gong
In Proc. The Web Conference (WWW), 2024 (*co-primary authors, acceptance rate: 20.2%)
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Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks PDF
Yichang Xu*, Ming Yin*, Minghong Fang, and Neil Zhenqiang Gong
In Proc. The Web Conference (WWW), 2024 (*co-primary authors)
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Competitive Advantage Attacks to Decentralized Federated Learning PDF
Yuqi Jia, Minghong Fang, and Neil Zhenqiang Gong
Preprint, 2023
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IPCert: Provably Robust Intellectual Property Protection for Machine Learning PDF
Zhengyuan Jiang, Minghong Fang, and Neil Zhenqiang Gong
In Proc. ICCV Workshops, 2023
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Machine learning-based modeling approaches for estimating pyrolysis products of varied biomass and operating conditions PDF
Jiangfeng Shen, Mengguo Yan, Minghong Fang, and Xi Gao
In Bioresource Technology Reports, 2022
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AFLGuard: Byzantine-robust Asynchronous Federated Learning PDF
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, and Elizabeth S. Bentley
In Proc. ACM ACSAC, 2022 (acceptance rate: 24.1%)
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NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data PDF
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, and Zhengyuan Zhu
In Proc. ACM MobiHoc, 2022 (acceptance rate: 19.8%)
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FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data PDF
Minghong Fang, Jia Liu, Michinari Momma, and Yi Sun
In Proc. ACM SACMAT, 2022
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Data Poisoning Attacks and Defenses to Crowdsourcing Systems 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%)
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Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning PDF
Haibo Yang, Minghong Fang, and Jia Liu
In Proc. ICLR, 2021 (acceptance rate: 28.7%)
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Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization PDF
Haibo Yang, Xin Zhang, Minghong Fang, and Jia Liu
In Proc. IEEE SPAWC, Special Session on Distributed Signal Processing for Coding and Communications, 2020 (Invited Paper)
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Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach PDF
Xin Zhang, Minghong Fang, Jia Liu, and Zhengyuan Zhu
In Proc. ACM MobiHoc, 2020 (acceptance rate: 15%)
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Influence Function based Data Poisoning Attacks to Top-N Recommender Systems PDF
Minghong Fang, Neil Zhenqiang Gong, and Jia Liu
In Proc. The Web Conference (WWW), 2020 (acceptance rate: 25%)
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Toward Low-Cost and Stable Blockchain Networks PDF
Minghong Fang and Jia Liu
In Proc. IEEE ICC, 2020
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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%)
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Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach PDF
Haibo Yang, Xin Zhang, Minghong Fang, and Jia Liu
In Proc. IEEE CDC, 2019
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Poisoning Attacks to Graph-Based Recommender Systems PDF
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, and Jia Liu
In Proc. ACSAC, 2018 (acceptance rate: 20.1%)
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Prioritizing Disease-Causing Genes Based on Network Diffusion and Rank Concordance PDF
Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, and Jie Yuan
In Proc. IEEE BIBM, 2014 (acceptance rate: 19%)
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A Novel Disease Gene Prediction Method Based on PPI Network PDF
Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, and Jie Yuan
In Proc. IEEE BIBM, 2014 (acceptance rate: 19%)