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I tried both MLP and CNN models, while only using the pre-trained CNN model (cnn_best_ascad_desync0_epochs75_classes256_batchsize200.h5) can achieve good rank performance as shown in the paper. Utilizing the pre-trained MLP model (mlp_best_ascad_desync0_node200_layernb6_epochs200_classes256_batchsize100.h5), or utilizing the MLP and CNN models trained from the training script isn't able to produce reasonable results. Could you please tell me what I might be missing here?
I have downloaded the ATM_AES_v1_fixed_key dataset and the corresponding pre-training models. I didn't modify the generating, training or testing scripts. The training parameter I am using is shown below:
Hi,
I tried both MLP and CNN models, while only using the pre-trained CNN model (cnn_best_ascad_desync0_epochs75_classes256_batchsize200.h5) can achieve good rank performance as shown in the paper. Utilizing the pre-trained MLP model (mlp_best_ascad_desync0_node200_layernb6_epochs200_classes256_batchsize100.h5), or utilizing the MLP and CNN models trained from the training script isn't able to produce reasonable results. Could you please tell me what I might be missing here?
I have downloaded the ATM_AES_v1_fixed_key dataset and the corresponding pre-training models. I didn't modify the generating, training or testing scripts. The training parameter I am using is shown below:
and the testing parameters are shown below:
Am I missing anything here?