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对于白盒对抗性攻击的梯度校正

Hongying Liu, Zhijin Ge, Zhenyu Zhou

    IEEE transactions on neural networks and learning systems
    |October 11, 2023
    PubMed
    概括

    本研究介绍了ADV-ReLU,这是一种通过纠正由ReLU激活函数引起的梯度错误计算来改善对深度神经网络的对抗性攻击的新方法. 这种方法增强了白盒和黑盒攻击,减少了对手的干扰.

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