Publications

  1. Improving Adversarial Robustness of Deep Neural Networks Via Adaptive Margin Evolution
    Linhai Ma, and Liang Liang
    Neurocomputing, 2023
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  2. Increasing-margin adversarial (IMA) training to improve adversarial robustness of neural networks
    Linhai Ma, and Liang Liang
    Computers Methods and Programs in Biomedicine, 2023
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  3. Towards lifting the trade-off between accuracy and adversarial robustness of deep neural networks with application on COVID 19 CT image classification and medical image segmentation
    Linhai Ma, and Liang Liang
    Medical Imaging 2023: Image Processing. Vol. 12464. SPIE, 2023, 2023
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  1. A regularization method to improve adversarial robustness of neural networks for ECG signal classification
    Linhai Ma, and Liang Liang
    Computers in biology and medicine, 2022
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  2. Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
    Linhai Ma, and Liang Liang
    2022
    arXiv
    1. Enhance CNN robustness against noises for classification of 12-lead ECG with variable length
      Linhai Ma, and Liang Liang
      In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020
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    2. Improve robustness of DNN for ECG signal classification: a noise-to-signal ratio perspective
      Linhai Ma, and Liang Liang
      In The International Conference on Learning Representations (ICLR2020) Workshop AI for Affordable Health, 2020
      arXiv
    3. An algorithm for out-of-distribution attack to neural network encoder
      Liang Liang, Linhai Ma, Linchen Qian, and 1 more author
      2020
      arXiv
      1. Diversity driven adaptive test generation for concurrent data structures
        Linhai Ma, Peng Wu, and Tsong Yueh Chen
        Information and Software Technology, 2018
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