Dung (Judy) Nguyen
Hi! I am a first-year Ph.D. student in Computer Science at Vanderbilt University, TN, advised by Prof. Taylor T. Johnson and Prof. Kevin Leach. My research focuses on enhancing AI’s robustness, generalizability, and trustworthiness and the intersection of these topics, especially in federated learning and computer vision. Previously, I received my Bachelor’s degree from School of Information and Communication Technology at Hanoi University of Science and Technology in October 2022. I have always loved pushing myself to go beyond my limits, and I am definitely a lifelong learner.
News
Dec 13, 2023 | I presented my paper IBA at NeurIPS’23, New Orleans. |
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Aug 15, 2023 | I started my first-year PhD @ Vanderbilt University. |
Selected Publications
- JOLOTJoint optimization of charging location and time for network lifetime extension in WRSNsIEEE Transactions on Green Communications and Networking, 2021
- EAAIBackdoor attacks and defenses in federated learning: Survey, challenges and future research directionsEngineering Applications of Artificial Intelligence, 2024
- IBAIba: Towards irreversible backdoor attacks in federated learningAdvances in Neural Information Processing Systems, 2024
- FedGradFedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients InspectionIn 2023 International Joint Conference on Neural Networks (IJCNN) , 2023