added material

privacy/figs/Introduction_attack_results.json

@@ -0,0 +1,27 @@
+{
+  "target_model": {
+    "train_accuracy": 0.9372671061791081,
+    "test_accuracy": 0.8247481778724102,
+    "overfitting_gap": 0.11251892830669796
+  },
+  "attack_results": {
+    "accuracy": 0.6892061585499017,
+    "precision": 0.6897525473071324,
+    "recall": 0.9701895909258426,
+    "f1_score": 0.8062820098347825,
+    "auc": 0.5731226081310534,
+    "advantage": 0.18920615854990175
+  },
+  "configuration": {
+    "random_seed": 1337,
+    "num_shadow_models": 5,
+    "target_architecture": [
+      256,
+      128
+    ],
+    "attack_architecture": [
+      64,
+      32
+    ]
+  }
+}

privacy/figs/pate_results.json

@@ -0,0 +1,22 @@
+{
+  "configuration": {
+    "dataset": "mnist",
+    "num_teachers": 250,
+    "noise_scale": 20.0,
+    "num_queries": 5000
+  },
+  "privacy": {
+    "per_query_epsilon": 0.1,
+    "total_epsilon": 11.647065596072498
+  },
+  "utility": {
+    "student_accuracy": 87.71,
+    "label_accuracy": 87.44,
+    "clean_ensemble_accuracy": 0.8782
+  },
+  "information": {
+    "private_data_bytes": 150528000,
+    "student_info_bytes": 20000,
+    "compression_ratio": 7526.4
+  }
+}