Skip to main content

Table 2 The network architectures of NetD

From: Generative adversarial network-based rogue device identification using differential constellation trace figure

Layer Output channels Output dimension Kernel, stride, padding Parameters Activation
Input 1 [64,64]
Convolution-2D 64 [32,32] [4,4], 2, 1 1024 LeakyReLU
Convolution-2D 128 [16,16] [4,4], 2, 1 131,072
BatchNorm-2D 128 [16,16] 256 LeakyReLU
Convolution-2D 256 [8,8] [4,4], 2, 1 524,288
BatchNorm-2D 256 [8,8] 512 LeakyReLU
Convolution-2D 1 [5,5] [4,4], 1, 0 4,096 Sigmoid
Output 1 1