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View Code? Open in Web Editor NEWpytorch implementation of Parametric Noise Injection for adversarial defense
License: Apache License 2.0
pytorch implementation of Parametric Noise Injection for adversarial defense
License: Apache License 2.0
I run your code but can't regain the claimed result except the baseline model. Can you upload your pretrained model?
{
--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 ${batch_size} --workers 4 --ngpu 1 --gpu_id 0
--print_freq 100 --decay 0.0003 --momentum 0.9
--adv_eval --epoch_delay 5
--adv_train
} & Is the main.py referred to in this code the main.py file in the code directory?"
Hello, I want to ask how to modify the model training. I want to change it to resnet101 to test the results
Hi, thank you for your impressive work!
Can I have the each step accuracy of Figure 3 in the paper for my research?
It means (Attack iteration = 20, accuracy = ? // Attack iteration = 30, accuracy = ? ) .
Thank you so much.
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