Adversarial Signal Library
Project description
Advsignals
An Adversarial Signal Library for Deep Neural Networks.
netmodels
深度神经网络模型模块主要集成了主流的各类深度神经网络模型,包括CNN、VGG (11、13、16、19)和深度残差网络(ResNet-18、34、50)。
frequency
频域处理器主要提供频域变换功能,包括离散傅里叶变换、离散余弦变换、haar 小 波变换等信号处理技术,并且可以结合样本生成器和网络模型模块实现控频攻击和控频 训练,方便快捷的从频率域研究深度神经网络对抗信号。
datasets
最后,目前的对抗样本库主要基于MNIST 数据集、CIFAR-10 数据集、CIFAR-100 数据集(支持的功能完善)、TinyImageNet 和ImageNet(部分支持)等图像分类领域常 用的数据集生成对抗信号。
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