Minghong Fang

According to our database, Minghong Fang authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks.

Zifan Zhang, Minghong Fang, Mingzhe Chen, Gaolei Li, Xi Lin, Yuchen Liu

IEEE Internet Things J., November, 2024

LoBAM: LoRA-Based Backdoor Attack on Model Merging.

Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen

CoRR, 2024

On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks.

Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu

CoRR, 2024

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning.

Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong

CoRR, 2024

PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency.

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

CoRR, 2024

GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis.

Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong

CoRR, 2024

Poisoning Federated Recommender Systems with Fake Users.

Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the ACM on Web Conference 2024, 2024

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.

Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

On the Hardness of Decentralized Multi-Agent Policy Evaluation Under Byzantine Attacks.

Hairi, Minghong Fang, Zifan Zhang, Alvaro Velasquez, Jia Liu

Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024

Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction.

Zifan Zhang, Minghong Fang, Jiayuan Huang, Yuchen Liu

Proceedings of the IFIP Networking Conference, 2024

Adversarial Attacks to Multi-Modal Models.

Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error.

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation.

Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Byzantine-Robust Decentralized Federated Learning.

Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.

Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Competitive Advantage Attacks to Decentralized Federated Learning.

Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong

CoRR, 2023

IPCert: Provably Robust Intellectual Property Protection for Machine Learning.

Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data.

Minghong Fang, Jia Liu, Michinari Momma, Yi Sun

Proceedings of the SACMAT '22: The 27th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, June 8, 2022

NET-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

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

AFLGuard: Byzantine-robust Asynchronous Federated Learning.

Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Data Poisoning Attacks and Defenses to Crowdsourcing Systems.

Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.

Haibo Yang, Minghong Fang, Jia Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems.

Minghong Fang, Neil Zhenqiang Gong, Jia Liu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.

Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 29th USENIX Security Symposium, 2020

Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization.

Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach.

Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu

Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

Toward Low-Cost and Stable Blockchain Networks.

Minghong Fang, Jia Liu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach.

Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Poisoning Attacks to Graph-Based Recommender Systems.

Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2014

A novel disease gene prediction method based on PPI network.

Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, Jie Yuan

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Prioritizing disease-causing genes based on network diffusion and rank concordance.

Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, Jie Yuan

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014