Minghong Fang - RankMe

86 papers A* 14A 4B 8C 1Journal 48Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Practical Framework for Privacy-Preserving and Byzantine-Robust Federated Learning. IEEE Trans. Inf. Forensics Secur. Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
2026	A*	`conf`	SecureSplit: Mitigating Backdoor Attacks in Split Learning. WWW Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026	J	`jnl`	SecureSplit: Mitigating Backdoor Attacks in Split Learning. CoRR Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026	J	`jnl`	When the Server Steps In: Calibrated Updates for Fair Federated Learning. CoRR Tianrun Yu, Kaixiang Zhao, Cheng Zhang, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang
2025	B	`conf`	A Power Line Backbone-Assisted Wireless Transit Network. ICNP Wei Sun, Minghong Fang
2025	J	`jnl`	Benchmarking Poisoning Attacks against Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Jiatong Li, Dongzhe Zhang, Minghong Fang, Zhuqing Liu, Lihai Nie, Zheli Liu
2025	—	`conf`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. WWW (Companion Volume) Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	J	`jnl`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. CoRR Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	A*	`conf`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? NDSS Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	J	`jnl`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? CoRR Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	B	`conf`	Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach. MobiHoc Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu
2025	J	`jnl`	Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach. CoRR Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu
2025	B	`conf`	Fairness-Constrained Optimization Attack in Federated Learning. TrustCom Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2025	J	`jnl`	Fairness-Constrained Optimization Attack in Federated Learning. CoRR Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2025	J	`jnl`	Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning. CoRR Wenjin Mo, Zhiyuan Li, Minghong Fang, Mingwei Fang
2025	A*	`conf`	Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CVPR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2025	A	`conf`	On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins. MSWiM Zifan Zhang, Minghong Fang, Mingzhe Chen, Yuchen Liu
2025	J	`jnl`	On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins. CoRR Zifan Zhang, Minghong Fang, Mingzhe Chen, Yuchen Liu
2025	J	`jnl`	Periodic Recovery From Poisoning Attacks in Machine Learning. IEEE Trans. Dependable Secur. Comput. Yuepeng Hu, Minghong Fang, Yuqi Jia, Hongbin Liu, Neil Zhenqiang Gong
2025	—	`conf`	Poisoning Attacks and Defenses to Federated Unlearning. WWW (Companion Volume) Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Poisoning Attacks and Defenses to Federated Unlearning. CoRR Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning. CoRR Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
2025	J	`jnl`	Practical Poisoning Attacks against Retrieval-Augmented Generation. CoRR Baolei Zhang, Yuxi Chen, Minghong Fang, Zhuqing Liu, Lihai Nie, Tong Li, Zheli Liu
2025	A*	`conf`	Provably Robust Federated Reinforcement Learning. WWW Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025	J	`jnl`	Provably Robust Federated Reinforcement Learning. CoRR Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025	B	`conf`	Secure Retrieval-Augmented Generation Against Poisoning Attacks. IEEE Big Data Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang
2025	J	`jnl`	Secure Retrieval-Augmented Generation against Poisoning Attacks. CoRR Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang
2025	J	`jnl`	Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security. CoRR Zifan Zhang, Minghong Fang, Dianwei Chen, Xianfeng Yang, Yuchen Liu
2025	J	`jnl`	Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security. IEEE Wirel. Commun. Zifan Zhang, Minghong Fang, Dianwei Chen, Xianfeng Yang, Yuchen Liu
2025	A	`conf`	Toward Malicious Clients Detection in Federated Learning. AsiaCCS Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Toward Malicious Clients Detection in Federated Learning. CoRR Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
2025	A*	`conf`	Traceback of Poisoning Attacks to Retrieval-Augmented Generation. WWW Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025	J	`jnl`	Traceback of Poisoning Attacks to Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025	J	`jnl`	VReaves: Eavesdropping on Virtual Reality App Identity and Activity via Electromagnetic Side Channels. CoRR Wei Sun, Minghong Fang, Mengyuan Li
2025	J	`jnl`	Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Yuxi Chen, Zhuqing Liu, Biao Yi, Tong Li, Lihai Nie, Zheli Liu, Minghong Fang
2024	—	`conf`	Adversarial Attacks to Multi-Modal Models. LAMPS@CCS Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	J	`jnl`	Adversarial Attacks to Multi-Modal Models. CoRR Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	A*	`conf`	Byzantine-Robust Decentralized Federated Learning. CCS Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong
2024	J	`jnl`	Byzantine-Robust Decentralized Federated Learning. CoRR Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
2024	A*	`conf`	FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. ICML Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024	—	`conf`	GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. ACL (1) Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
2024	J	`jnl`	GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
2024	J	`jnl`	LoBAM: LoRA-Based Backdoor Attack on Model Merging. CoRR Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen
2024	B	`conf`	On the Hardness of Decentralized Multi-Agent Policy Evaluation Under Byzantine Attacks. WiOpt Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu
2024	J	`jnl`	On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks. CoRR Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu
2024	J	`jnl`	PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024	B	`conf`	Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction. IFIP Networking Zifan Zhang, Minghong Fang, Jiayuan Huang, Yuchen Liu
2024	J	`jnl`	Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction. CoRR Zifan Zhang, Minghong Fang, Jiayuan Huang, Yuchen Liu
2024	A*	`conf`	Poisoning Federated Recommender Systems with Fake Users. WWW Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Poisoning Federated Recommender Systems with Fake Users. CoRR Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
2024	—	`conf`	Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. WWW (Companion Volume) Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. CoRR Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks. CoRR Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, Yuchen Liu
2024	J	`jnl`	Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks. IEEE Internet Things J. Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, Yuchen Liu
2024	J	`jnl`	Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. CoRR Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong
2024	A*	`conf`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. ICML Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2024	J	`jnl`	Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. CoRR Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2023	J	`jnl`	Competitive Advantage Attacks to Decentralized Federated Learning. CoRR Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
2023	—	`conf`	IPCert: Provably Robust Intellectual Property Protection for Machine Learning. ICCV (Workshops) Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong
2022	A	`conf`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	J	`jnl`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	C	`conf`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. SACMAT Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	J	`jnl`	FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. CoRR Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
2022	J	`jnl`	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2021	A*	`conf`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. ICLR Haibo Yang, Minghong Fang, Jia Liu
2021	J	`jnl`	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. CoRR Haibo Yang, Minghong Fang, Jia Liu
2021	A*	`conf`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	J	`jnl`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	A*	`conf`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2020	—	`conf`	Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2020	J	`jnl`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2020	A*	`conf`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	J	`jnl`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	A*	`conf`	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2020	J	`jnl`	Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	B	`conf`	Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
2020	—	`conf`	Toward Low-Cost and Stable Blockchain Networks. ICC Minghong Fang, Jia Liu
2020	J	`jnl`	Toward Low-Cost and Stable Blockchain Networks. CoRR Minghong Fang, Jia Liu
2019	—	`conf`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	J	`jnl`	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
2019	J	`jnl`	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. CoRR Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2018	A	`conf`	Poisoning Attacks to Graph-Based Recommender Systems. ACSAC Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2018	J	`jnl`	Poisoning Attacks to Graph-Based Recommender Systems. CoRR Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2014	—	`conf`	A novel disease gene prediction method based on PPI network. BIBM Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, Jie Yuan
2014	—	`conf`	Prioritizing disease-causing genes based on network diffusion and rank concordance. BIBM Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, Jie Yuan