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Minghong Fang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

19

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2026AsiaCCSSecureAFL: Secure Asynchronous Federated Learning.Anjun Gao, Feng Wang, Zhenglin Wan, Yueyang Quan, Zhuqing Liu, Minghong Fang
2026AsiaCCSClieND: Client-Side Neuron-Level Detection against Poisoning Attacks on Cross-Silo Federated Learning.Mengyao Ma, Shuofeng Liu, Viet Vo, Minghong Fang, Surya Nepal, Guangdong Bai
2026ICDCSNetwork Digital Untwinning: Towards Backward Optimization of Digital Twins.Zifan Zhang, Dianwei Chen, Anjun Gao, Manhua Wang, Mingzhe Chen, Minghong Fang, Xianfeng Yang, Yuchen Liu
2026WWWSecureSplit: Mitigating Backdoor Attacks in Split Learning.Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026SPWho Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation.Baolei Zhang, Haoran Xin, Yuxi Chen, Zhuqing Liu, Biao Yi, Tong Li, Lihai Nie, Zheli Liu, Minghong Fang
2026SACMATPractical Poisoning Attacks against Retrieval-Augmented Generation.Baolei Zhang, Yuxi Chen, Zhuqing Liu, Lihai Nie, Tong Li, Zheli Liu, Minghong Fang
2026WiOptWhen the Server Steps In: Calibrated Updates for Fair Federated Learning.Tianrun Yu, Kaixiang Zhao, Cheng Zhang, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang
2025AsiaCCSToward Malicious Clients Detection in Federated Learning.Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
2025CVPRModel Poisoning Attacks to Federated Learning via Multi-Round Consistency.Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2025ICCVFind a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning.Wenjin Mo, Zhiyuan Li, Minghong Fang, Mingwei Fang
2025ICNPA Power Line Backbone-Assisted Wireless Transit Network.Wei Sun, Minghong Fang
2025MOBIHOCEnhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach.Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu
2025MSWIMOn Transferring, Merging, and Splitting Task-Oriented Network Digital Twins.Zifan Zhang, Minghong Fang, Mingzhe Chen, Yuchen Liu
2025NDSSDo We Really Need to Design New Byzantine-robust Aggregation Rules?Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025WWWByzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing.Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025WWWProvably Robust Federated Reinforcement Learning.Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025WWWPoisoning Attacks and Defenses to Federated Unlearning.Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang
2025WWWTraceback of Poisoning Attacks to Retrieval-Augmented Generation.Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025TrustComFairness-Constrained Optimization Attack in Federated Learning.Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2024ACLGradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
2024CCSByzantine-Robust Decentralized Federated Learning.Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong
2024ICMLUnderstanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation.Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2024ICMLFedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error.Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024NetworkingPoisoning Attacks on Federated Learning-based Wireless Traffic Prediction.Zifan Zhang, Minghong Fang, Jiayuan Huang, Yuchen Liu
2024WWWRobust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
2024WWWPoisoning Federated Recommender Systems with Fake Users.Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
2024WiOptOn the Hardness of Decentralized Multi-Agent Policy Evaluation Under Byzantine Attacks.Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu
2022ACSACAFLGuard: Byzantine-robust Asynchronous Federated Learning.Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022MOBIHOCNET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data.Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022SACMATFairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data.Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2021ICLRAchieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.Haibo Yang, Minghong Fang, Jia Liu
2021NDSSFLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2021WWWData Poisoning Attacks and Defenses to Crowdsourcing Systems.Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2020MOBIHOCPrivate and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach.Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020WWWInfluence Function based Data Poisoning Attacks to Top-N Recommender Systems.Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2018ACSACPoisoning Attacks to Graph-Based Recommender Systems.Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu