1. NeurIPSConference
    Fantastic Robustness Measures: The Secrets of Robust Generalization
    Hoki Kim, Jinseong Park, Yujin Choi, and Jaewook Lee
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023
  2. NeuNetJournal
    Bridged Adversarial Training
    Hoki Kim, Woojin Lee, Sungyoon Lee, and Jaewook Lee
    Neural Networks, 2023
  3. Generating Transferable Adversarial Examples for Speech Classification
    Hoki Kim, Jinseong Park, and Jaewook Lee
    Pattern Recognition, 2023
  4. ASOCJournal
    Fast Sharpness-Aware Training for Periodic Time Series Classification and Forecasting
    Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, and Jaewook Lee
    Applied Soft Computing, 2023
  5. IEEEJournal
    Exploring Diverse Feature Extractions for Adversarial Audio Detection
    Yujin Choi, Jinseong Park, Jaewook Lee, and Hoki Kim
    IEEE Access, 2023
  6. arXiv
    Stability Analysis of Sharpness-Aware Minimization
    Hoki Kim, Jinseong Park, Yujin Choi, and Jaewook Lee
    arXiv preprint arXiv:2301.06308, 2023
  7. arXiv
    Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization
    Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, and Jaewook Lee
    arXiv preprint arXiv:2302.10181, 2023
  8. Differentially Private Sharpness-Aware Training
    Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, and Jaewook Lee
    International Conference on Machine Learning, 2023


  1. TPAMIJournal
    Graddiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
    Sungyoon Lee, Hoki Kim, and Jaewook Lee
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
  2. Variational Cycle-consistent Imputation Adversarial Networks for General Missing Patterns
    Woojin Lee, Sungyoon Lee, Junyoung Byun, Hoki Kim, and Jaewook Lee
    Pattern Recognition, 2022


  1. Compact Class-conditional Domain Invariant Learning for Multi-class Domain Adaptation
    Woojin Lee, Hoki Kim, and Jaewook Lee
    Pattern Recognition, 2021
  2. Understanding Catastrophic Overfitting in Single-step Adversarial Training
    Hoki Kim, Woojin Lee, and Jaewook Lee
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021


  1. Torchattacks: A PyTorch Repository for Adversarial Attacks
    Hoki Kim
    arXiv preprint arXiv:2010.01950, 2020