model = Net()
accuracies = {}

for filter_name in filters:
    for epsilon in epsilons:
        for strength in range(5):
            correct = 0
            total = 0

            for data, target in dataset:
                atk_data = fgsm_attack(data, epsilon)
                filt_data = filtered(atk_data, filter_name, strength)
                prediction = model(filt_data)

                total += 1
                if prediction == target:
                    correct += 1

            accuracies[filter_name][epsilon][strength] = correct/total

save_json("results.json", accuracies)