Minghong Fang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 39

Top Topics

Intellectual Property Protection

Heterogeneous Data

Distributed Learning

Recommender Systems

Top Venues

Publications

Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis. ACL (1) (2024)
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR (2024)
Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
Byzantine-Robust Decentralized Federated Learning. CoRR (2024)
Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR (2024)
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. CoRR (2024)
Zifan Zhang, Minghong Fang, Jiayuan Huang, Yuchen Liu
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction. CoRR (2024)
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. CoRR (2024)
Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, Yuchen Liu
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks. CoRR (2024)
Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. CoRR (2024)
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. WWW (Companion Volume) (2024)
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
Poisoning Federated Recommender Systems with Fake Users. WWW (2024)
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
Poisoning Federated Recommender Systems with Fake Users. CoRR (2024)
Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
Competitive Advantage Attacks to Decentralized Federated Learning. CoRR (2023)
Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong
IPCert: Provably Robust Intellectual Property Protection for Machine Learning. ICCV (Workshops) (2023)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR (2022)
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc (2022)
Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. SACMAT (2022)
Minghong Fang, Jia Liu, Michinari Momma, Yi Sun
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. CoRR (2022)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC (2022)
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR (2022)
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW (2021)
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS (2021)
Haibo Yang, Minghong Fang, Jia Liu
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. ICLR (2021)
Haibo Yang, Minghong Fang, Jia Liu
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. CoRR (2021)
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR (2021)
Minghong Fang, Jia Liu
Toward Low-Cost and Stable Blockchain Networks. ICC (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR (2020)
Minghong Fang, Jia Liu
Toward Low-Cost and Stable Blockchain Networks. CoRR (2020)
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc (2020)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC (2020)
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR (2020)
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR (2020)
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW (2020)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC (2019)
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. CoRR (2019)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR (2019)
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
Poisoning Attacks to Graph-Based Recommender Systems. CoRR (2018)
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
Poisoning Attacks to Graph-Based Recommender Systems. ACSAC (2018)
Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, Jie Yuan
Prioritizing disease-causing genes based on network diffusion and rank concordance. BIBM (2014)
Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, Jie Yuan
A novel disease gene prediction method based on PPI network. BIBM (2014)