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本项目对L0稀疏对抗攻击方法进行了首次系统性比较研究。L0攻击通过修改图像中极少量的像素点来欺骗深度神经网络，相比L∞和L2攻击具有更强的实际威胁性和可实施性。 深度神经网络虽然在图像分类等任务上表现优异，但对对抗攻击极其脆弱。L0攻击相比其他 ...