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触发器生成原理的疑问
作者您好,我读了DFB的想法很棒,我有在读论文的时候有一个疑惑的地方。
优化生成的触发器所使用的损失函数不太能理解。个人认为生成的触发器是提取了目标类的特征,对优化触发器所用到的形式化定义不太理解,为什么使用除了目标标签以外的所有标签去优化触发器。如果生成的触发器可以抹除目标图像中当前类别的任何特征,那么当进行投毒后,如何保证模型学习到触发器的特征。
我的理解可能不到位,希望得到您的解答
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