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Backdoor training process dataset: MNIST architecture: ResNet18

Dataset Dir

data(input path)
│   index.json(optional, for nosiy model)
│   new_labels.json(optional, for nosiy model) 
│   old_labels.json(optional, for nosiy model)
|
└─── sprites
│    │ 0.png
│    │ 1.png
│    │ ...
│
└───Model
│   │   model.py
│   │
│   └───Epoch_1
│       │   index.json
│       │   subject_model.pth
|       |   (train_data.npy)     [after preprocess]
|       |   (test_data.npy)      [after preprocess]
|       |   (border_centers.npy) [after preprocess]
|       |   (vismodel.pth)       [after trained]
|       |   (embedding.npy)      [after visulization]
|       |   (scale.npy)          [after visulization]
|       |   (bgimg.png)          [after visulization]
│   └───Epoch_2
|       |   ...
│   
└───Training_data
|   │   training_dataset_data.pth
|   │   training_dataset_label.pth
│   
└───Testing_data
│   │   testing_dataset_data.pth
│   │   testing_dataset_label.pth

└───config.json
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