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Updated: Jun 29, 2025

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可泛化和歧视性表述,用于对抗性强大的少量学习

Junhao Dong, Yuan Wang, Xiaohua Xie

    IEEE transactions on neural networks and learning systems
    |March 27, 2024
    PubMed
    概括

    这项研究引入了一种用于少数镜头图像分类 (FSIC) 的新方法,该方法可以在没有复杂的元学习的情况下强有力的防御对抗性示例. 该方法学习了歧视性表示,在现实应用中增强了安全性和性能.

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