diff --git a/src/transformers/models/deta/modeling_deta.py b/src/transformers/models/deta/modeling_deta.py
index 0f245f2a3058f4..19f0250e6f8ce6 100644
--- a/src/transformers/models/deta/modeling_deta.py
+++ b/src/transformers/models/deta/modeling_deta.py
@@ -1414,14 +1414,12 @@ def get_encoder(self):
     def get_decoder(self):
         return self.decoder
 
-    # Copied from transformers.models.deformable_detr.modeling_deformable_detr.DeformableDetrModel.freeze_backbone
     def freeze_backbone(self):
-        for name, param in self.backbone.conv_encoder.model.named_parameters():
+        for name, param in self.backbone.model.named_parameters():
             param.requires_grad_(False)
 
-    # Copied from transformers.models.deformable_detr.modeling_deformable_detr.DeformableDetrModel.unfreeze_backbone
     def unfreeze_backbone(self):
-        for name, param in self.backbone.conv_encoder.model.named_parameters():
+        for name, param in self.backbone.model.named_parameters():
             param.requires_grad_(True)
 
     # Copied from transformers.models.deformable_detr.modeling_deformable_detr.DeformableDetrModel.get_valid_ratio
diff --git a/tests/models/deta/test_modeling_deta.py b/tests/models/deta/test_modeling_deta.py
index d5bf32acaba7e0..8581723ccb3b72 100644
--- a/tests/models/deta/test_modeling_deta.py
+++ b/tests/models/deta/test_modeling_deta.py
@@ -162,6 +162,26 @@ def create_and_check_deta_model(self, config, pixel_values, pixel_mask, labels):
 
         self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.num_queries, self.hidden_size))
 
+    def create_and_check_deta_freeze_backbone(self, config, pixel_values, pixel_mask, labels):
+        model = DetaModel(config=config)
+        model.to(torch_device)
+        model.eval()
+
+        model.freeze_backbone()
+
+        for _, param in model.backbone.model.named_parameters():
+            self.parent.assertEqual(False, param.requires_grad)
+
+    def create_and_check_deta_unfreeze_backbone(self, config, pixel_values, pixel_mask, labels):
+        model = DetaModel(config=config)
+        model.to(torch_device)
+        model.eval()
+
+        model.unfreeze_backbone()
+
+        for _, param in model.backbone.model.named_parameters():
+            self.parent.assertEqual(True, param.requires_grad)
+
     def create_and_check_deta_object_detection_head_model(self, config, pixel_values, pixel_mask, labels):
         model = DetaForObjectDetection(config=config)
         model.to(torch_device)
@@ -250,6 +270,14 @@ def test_deta_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_deta_model(*config_and_inputs)
 
+    def test_deta_freeze_backbone(self):
+        config_and_inputs = self.model_tester.prepare_config_and_inputs()
+        self.model_tester.create_and_check_deta_freeze_backbone(*config_and_inputs)
+
+    def test_deta_unfreeze_backbone(self):
+        config_and_inputs = self.model_tester.prepare_config_and_inputs()
+        self.model_tester.create_and_check_deta_unfreeze_backbone(*config_and_inputs)
+
     def test_deta_object_detection_head_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_deta_object_detection_head_model(*config_and_inputs)