attck metrics

architectures/Model.py

@@ -108,21 +108,7 @@ class Model(ABC):
         self.model.to(self.device)
         print(f'Model loaded from {file_path}')
 
-    '''
-    def unlearn(self, strategy: 'Strategy', forget_loader, retain_loader):
-        """ Executes a targeted unlearning strategy and profiles efficiency """
-        print(f"Executing: {strategy.__class__.__name__}...")
-        
-        start_time = time.time()
-        
-        # Delegate the actual algorithmic weight/logit manipulation to the strategy
-        strategy.apply(self.model, forget_loader, retain_loader)
-        
-        elapsed_time = time.time() - start_time
-        print(f"{strategy.__class__.__name__} completed in {elapsed_time:.4f} seconds.")
-        
-        return elapsed_time
-        '''
+ 
 
     def evaluate(self, loader, mode="eval"):
         """