Clean up

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

Author: beat-buesser

art/attacks/extraction/functionally_equivalent_extraction.py

@@ -309,7 +309,6 @@ def _weight_recovery(
 
         for i in range(self.num_neurons):
             for k in range(self.num_features):
-                print("a0_pairwise_ratios", i, k)
                 self.a0_pairwise_ratios[k, i] = d2_ol_d2ej_xi[0, i] / d2_ol_d2ej_xi[k, i]
 
         # Weight Sign Recovery

tests/attacks/poison/test_hidden_trigger_backdoor.py

@@ -21,8 +21,8 @@
 import numpy as np
 import pytest
 
-from art.attacks.poisoning import HiddenTriggerBackdoor as HiddenTriggerBackdoor
-from art.attacks.poisoning import PoisoningAttackBackdoor
+from art.attacks.poisoning.hidden_trigger_backdoor.hidden_trigger_backdoor import HiddenTriggerBackdoor
+from art.attacks.poisoning.backdoor_attack import PoisoningAttackBackdoor
 from art.attacks.poisoning.perturbations import add_pattern_bd
 from art.estimators.classification.pytorch import PyTorchClassifier
 from art.estimators.classification.hugging_face import HuggingFaceClassifierPyTorch