Final report revisions

poster/pseudocode.py

@@ -1,21 +0,0 @@
-model = Net()
-accuracies = {}
-
-for filter 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 = filter(atk_data, filter, strength)
-                prediction = model(filt_data)
-
-                total += 1
-                if prediction == target:
-                    correct += 1
-
-            accuracies[filter][epsilon][strength] = correct/total
-
-save_json("results.json", accuracies)