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Minghong Fang

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

Mar 05, 2024
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong

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

Feb 21, 2024
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Gong

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Poisoning Federated Recommender Systems with Fake Users

Feb 18, 2024
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong

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Competitive Advantage Attacks to Decentralized Federated Learning

Oct 20, 2023
Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong

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FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data

Dec 13, 2022
Minghong Fang, Jia Liu, Michinari Momma, Yi Sun

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AFLGuard: Byzantine-robust Asynchronous Federated Learning

Dec 13, 2022
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley

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NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data

Aug 17, 2022
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu

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

Feb 25, 2021
Haibo Yang, Minghong Fang, Jia Liu

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Data Poisoning Attacks and Defenses to Crowdsourcing Systems

Feb 24, 2021
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu

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