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Jin-Hee Cho

Virginia Tech

OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning

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Apr 22, 2025
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LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

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Apr 14, 2025
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RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles

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Mar 20, 2025
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Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI

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Mar 20, 2025
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Advancing Human-Machine Teaming: Concepts, Challenges, and Applications

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Mar 16, 2025
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Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance

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Dec 01, 2024
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Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models

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Oct 26, 2024
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Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

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Apr 17, 2024
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SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms

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Feb 15, 2024
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Decision Theory-Guided Deep Reinforcement Learning for Fast Learning

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Feb 08, 2024
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