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原始模型训练的问题
可以给一下原始模型训练的代码吗，因为我发现直接用cifar10原始的测试集对模型测试的性能很差，不知道是不是对样本进行了调整以及数据集划分的方式的原因，还是说只需要生成指纹就行不用管模型的性能呢？另外，还有论文只有对输入修改和模型修改的方式的实验，这种方式生成的指纹对相同、不同模型结构的模型提取的有效吗？
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks
您好，我对您的新文章NaturalFinger中的FingerBench dataset非常感兴趣。请问可以提供一下这个数据集吗？
模型加噪和剪枝
请问这个库里面有模型加噪和剪枝的相关代码吗？如果没有，请问可以提供相关代码吗？谢谢！
其他的模型增强方法？
请问有试过其他的模型增强的方法吗，以此来生产出更多可能存在的现实模型，从而使查询集更为有效？
从论文中看，这种策略对各种修改模型参数都有效！是否可以说简单地添加噪声，可以模拟出大部分真实的模型？
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