Align parameters with Imperceptible ASR attack

Signed-off-by: Hessel Tuinhof <[email protected]>

Author: hesseltuinhof

art/attacks/evasion/adversarial_asr.py

@@ -47,6 +47,8 @@ class CarliniWagnerASR(ImperceptibleASR):
         "learning_rate",
         "max_iter",
         "batch_size",
+        "decrease_factor_eps",
+        "num_iter_decrease_eps",
     ]
 
     def __init__(
@@ -55,6 +57,8 @@ def __init__(
         eps: float = 2000.0,
         learning_rate: float = 100.0,
         max_iter: int = 1000,
+        decrease_factor_eps: float = 0.8,
+        num_iter_decrease_eps: int = 10,
         batch_size: int = 16,
     ):
         """
@@ -64,6 +68,8 @@ def __init__(
         :param eps: Initial max norm bound for adversarial perturbation.
         :param learning_rate: Learning rate of attack.
         :param max_iter: Number of iterations.
+        :param decrease_factor_eps: Decrease factor for epsilon (Paper default: 0.8).
+        :param num_iter_decrease_eps: Iterations after which to decrease epsilon if attack succeeds (Paper default: 10).
         :param batch_size: Batch size.
         """
         # pylint: disable=W0231
@@ -76,14 +82,14 @@ def __init__(
         self.max_iter_1 = max_iter
         self.max_iter_2 = 0
         self._targeted = True
+        self.decrease_factor_eps = decrease_factor_eps
+        self.num_iter_decrease_eps = num_iter_decrease_eps
         self.batch_size = batch_size
 
         # set remaining stage 2 params to some random values
         self.alpha = 0.1
         self.learning_rate_2 = 0.1
         self.loss_theta_min = 0.0
-        self.decrease_factor_eps: float = 1.0
-        self.num_iter_decrease_eps: int = 1
         self.increase_factor_alpha: float = 1.0
         self.num_iter_increase_alpha: int = 1
         self.decrease_factor_alpha: float = 1.0