Fang, Minghong

9 publications

NeurIPS 2025 Competitive Advantage Attacks to Decentralized Federated Learning Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong

ICCV 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning Wenjin Mo, Zhiyuan Li, Minghong Fang, Mingwei Fang

ICLRW 2025 LoBAM: LoRA-Based Backdoor Attack on Model Merging Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Helen Li, Yiran Chen

CVPR 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

NeurIPS 2025 Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong

ICML 2024 FedREDefense: Defending Against Model Poisoning Attacks for Federated Learning Using Model Update Reconstruction Error Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

ICML 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

ICCVW 2023 IPCert: Provably Robust Intellectual Property Protection for Machine Learning Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong

ICLR 2021 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang, Minghong Fang, Jia Liu