final fixes

Author: mishadr

metainfo/mi_defense_parameters.json

@@ -2,7 +2,7 @@
  "EmptyMIDefender": {
  },
  "NoiseMIDefender": {
-  "noise_type": ["Noise type", "str", "reverse_sigmoid", ["reverse_sigmoid", "random", "none"], "Type of noise to apply"],
+  "noise_type": ["Noise type", "string", "reverse_sigmoid", ["reverse_sigmoid", "random", "none"], "Type of noise to apply"],
   "beta": ["Beta", "float", 0.5, {"min": 0, "max": 10, "step": 0.1}, "Beta for reverse sigmoid"],
   "gamma": ["Gamma", "float", 1.0, {"min": 0, "max": 10, "step": 0.1}, "Gamma for reverse sigmoid"],
   "noise_scale": ["Noise scale", "float", 0.1, {"min": 0, "max": 1, "step": 0.01}, "Uniform noise magnitude"],

src/attacks/evasion_attacks.py

@@ -79,6 +79,15 @@ def __init__(
         self.attack_diff = GraphModificationArtifact()
         self.attack_res_misha = None
 
+    @staticmethod
+    def get_attack_loss(model_manager):
+        """
+        Returns a loss function that computes -loss_fn(pred, target). Lower loss value means better attack.
+        """
+        def attack_loss(output, target):
+            return -model_manager.loss_function(output, target)
+        return attack_loss
+
     def attack(
             self,
             model_manager: Type,

web_interface/back_front/attack_defense_blocks.py

@@ -219,7 +219,7 @@ def do(
                 metrics_values = res
 
             # Apply MI attack and get metrics
-            if self.ad_configs["AD-ea"] is not None:
+            if self.ad_configs["AD-ma"] is not None:
                 import numpy as np
                 assert not self.gen_dataset.is_multi()
                 target_list = np.random.choice(