diff --git a/src/algos/base_class.py b/src/algos/base_class.py
index 7b61baf..72f1344 100644
--- a/src/algos/base_class.py
+++ b/src/algos/base_class.py
@@ -313,6 +313,7 @@ def get_malicious_model_weights(self) -> Dict[str, Tensor]:
         if self.malicious_type == "sign_flip":
             return SignFlipAttack(self.config, self.model.state_dict()).get_representation()
         elif self.malicious_type == "bad_weights":
+            print("bad weights attack")
             return BadWeightsAttack(self.config, self.model.state_dict()).get_representation()
         elif self.malicious_type == "add_noise":
             return AddNoiseAttack(self.config, self.model.state_dict()).get_representation()
diff --git a/src/utils/model_utils.py b/src/utils/model_utils.py
index 97c639e..82011a1 100644
--- a/src/utils/model_utils.py
+++ b/src/utils/model_utils.py
@@ -88,7 +88,7 @@ def train(
                 model, optim, dloader, loss_fn, device, test_loader=None, **kwargs
             )
             return mean_loss, acc
-        elif self.malicious_type == "backdoor_attack" or self.malicious_type == "gradient_attack":
+        elif self.malicious_type == "backdoor_attack" or self.malicious_type == "gradient_attack" or self.malicious_type == "label_flip":
             train_loss, acc = self.train_classification_malicious(
                 model, optim, dloader, loss_fn, device, test_loader=None, **kwargs
             )
@@ -308,6 +308,7 @@ def train_classification_malicious(
                 loss.backward()
             elif self.malicious_type == "label_flip":
                 # permutation = torch.tensor(self.config.get("permutation", [i for i in range(10)]))
+                print("flipping labels")
                 permute_labels = self.config.get("permute_labels", 10)
                 permutation = torch.randperm(permute_labels)
                 permutation = permutation.to(target.device)