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pytorch implementation of Parametric Noise Injection for adversarial defense

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Hello, I want to ask how to modify the model training. I want to change it to resnet101 to test the results

I run your code but can't regain the claimed result except the baseline model. Can you upload your pretrained model?

{ $PYTHON main.py --dataset ${dataset} \ --data_path ${data_path} \ --arch ${model} --save_path ./save/${DATE}/${dataset}_${model}_${epochs}_${optimizer}_${label_info} \ --epochs ${epochs} --learning_rate 0.1 \ --optimizer ${optimizer} \ --schedule 80 120 --gammas 0.1 0.1 \ --batch_size...