Final report revisions

examples/pseudocode.py

@@ -0,0 +1,21 @@
+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)