Table 3 ConvNet configurations
From: Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
victim models | BEAM-related models | EEG-related models |
|---|---|---|
Input | 22*22 4-channel | 22*256 1-channel |
Convolution + ReLU | 3*3*32 | |
Convolution + ReLU | 3*3*32 | |
Convolution + ReLU | 3*3*32 | |
Convolution + ReLU | 3*3*32 | |
Max Pooling | 2*2 | |
Convolution + ReLU | 3*3*64 | |
Convolution + ReLU | 3*3*64 | |
Max Pooling | 2*2 | |
Convolution + ReLU | 3*3*128 | |
Max Pooling | 2*2 | |