Updates for BaseEstimator.set_params

Signed-off-by: Beat Buesser <[email protected]>

Author: Beat Buesser

art/estimators/pytorch.py

@@ -264,7 +264,7 @@ def _apply_preprocessing_gradient(self, x, gradients, fit=False):
 
         elif len(self.preprocessing_operations) == 1 or (
             len(self.preprocessing_operations) == 2
-            and isinstance(self.preprocessing[-1], (StandardisationMeanStd, StandardisationMeanStdPyTorch))
+            and isinstance(self.preprocessing_operations[-1], (StandardisationMeanStd, StandardisationMeanStdPyTorch))
         ):
             # Compatible with non-PyTorch defences if no chaining.
             for preprocess in self.preprocessing_operations[::-1]:

art/estimators/tensorflow.py

@@ -304,7 +304,7 @@ def _apply_preprocessing_gradient(self, x, gradients, fit=False):
 
         elif len(self.preprocessing_operations) == 1 or (
             len(self.preprocessing_operations) == 2
-            and isinstance(self.preprocessing[-1], (StandardisationMeanStd, StandardisationMeanStdTensorFlowV2))
+            and isinstance(self.preprocessing_operations[-1], (StandardisationMeanStd, StandardisationMeanStdTensorFlowV2))
         ):
             # Compatible with non-TensorFlow defences if no chaining.
             for preprocess in self.preprocessing_operations[::-1]: