Dung (Judy) Nguyen

Contact dung.t.nguyen (at) vanderbilt.edu.

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Hi! I am a second-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


Nov 21, 2024 My first PhD paper “PBP: Post-training Backdoor Purification for Malware Classifiers” was accepted at NDSS’25.
Dec 13, 2023 I presented my paper IBA at NeurIPS’23, New Orleans.
Aug 15, 2023 I started my first-year PhD @ Vanderbilt University.

Selected Projects


  1. jolot.png
    Joint optimization of charging location and time for network lifetime extension in WRSNs
    Thuy Dung Nguyen, Tuyen Nguyen , Thanh Hung Nguyen , and 2 more authors
    IEEE Transactions on Green Communications and Networking, 2021
  2. backdoor-survey.png
    Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions
    Thuy Dung Nguyen, Tuan Nguyen , Phi Le Nguyen , and 3 more authors
    Engineering Applications of Artificial Intelligence, 2024
  3. iba.png
    Iba: Towards irreversible backdoor attacks in federated learning
    Thuy Dung Nguyen, Tuan A Nguyen , Anh Tran , and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  4. pbp.png
    PBP: Post-training Backdoor Purification for Malware Classifiers
    Dung Thuy Nguyen, Ngoc N Tran , Taylor T Johnson , and 1 more author
    Network and Distributed System Security Symposium (NDSS), 2025
  5. fedgrad.png
    FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
    Thuy Dung Nguyen, Anh Duy Nguyen , Thanh-Hung Nguyen , and 4 more authors
    In 2023 International Joint Conference on Neural Networks (IJCNN) , 2023