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Minghong Fang

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Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning

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Jul 09, 2024
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Byzantine-Robust Decentralized Federated Learning

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Jun 18, 2024
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Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

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May 04, 2024
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Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction

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Apr 22, 2024
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Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks

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Mar 05, 2024
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GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis

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Feb 21, 2024
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Poisoning Federated Recommender Systems with Fake Users

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Feb 18, 2024
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Competitive Advantage Attacks to Decentralized Federated Learning

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Oct 20, 2023
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FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data

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Dec 13, 2022
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AFLGuard: Byzantine-robust Asynchronous Federated Learning

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Dec 13, 2022
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