Update docs

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

Author: Beat Buesser

art/attacks/poisoning/__init__.py

@@ -1,13 +1,15 @@
 """
 Module providing poisoning attacks under a common interface.
 """
+from art.attacks.poisoning.backdoor_attack_dgm_red import BackdoorAttackDGMReD
+from art.attacks.poisoning.backdoor_attack_dgm_trail import BackdoorAttackDGMTrail
 from art.attacks.poisoning.backdoor_attack import PoisoningAttackBackdoor
 from art.attacks.poisoning.poisoning_attack_svm import PoisoningAttackSVM
 from art.attacks.poisoning.feature_collision_attack import FeatureCollisionAttack
 from art.attacks.poisoning.adversarial_embedding_attack import PoisoningAttackAdversarialEmbedding
 from art.attacks.poisoning.clean_label_backdoor_attack import PoisoningAttackCleanLabelBackdoor
 from art.attacks.poisoning.bullseye_polytope_attack import BullseyePolytopeAttackPyTorch
+from art.attacks.poisoning.gradient_matching_attack import GradientMatchingAttack
 from art.attacks.poisoning.hidden_trigger_backdoor.hidden_trigger_backdoor import HiddenTriggerBackdoor
 from art.attacks.poisoning.hidden_trigger_backdoor.hidden_trigger_backdoor_pytorch import HiddenTriggerBackdoorPyTorch
 from art.attacks.poisoning.hidden_trigger_backdoor.hidden_trigger_backdoor_keras import HiddenTriggerBackdoorKeras
-from art.attacks.poisoning.gradient_matching_attack import GradientMatchingAttack

art/attacks/poisoning/hidden_trigger_backdoor/hidden_trigger_backdoor.py

@@ -100,9 +100,9 @@ def __init__(
         :param classifier: A trained neural network classifier.
         :param target: The target class/indices to poison. Triggers added to inputs not in the target class will
                        result in misclassifications to the target class. If an int, it represents a label.
-                       Otherwise, it is an array of indicies.
-        :param source: The class/indicies which will have a trigger added to cause misclassification
-                       If an int, it represents a label. Otherwise, it is an array of indicies.
+                       Otherwise, it is an array of indices.
+        :param source: The class/indices which will have a trigger added to cause misclassification
+                       If an int, it represents a label. Otherwise, it is an array of indices.
         :param feature_layer: The name of the feature representation layer
         :param backdoor: A PoisoningAttackBackdoor that adds a backdoor trigger to the input.
         :param eps: Maximum perturbation that the attacker can introduce.
@@ -185,6 +185,7 @@ def poison(  # pylint: disable=W0221
         """
         Calls perturbation function on the dataset x and returns only the perturbed inputs and their
         indices in the dataset.
+
         :param x: An array in the shape NxCxWxH with the points to draw source and target samples from.
                   Source indicates the class(es) that the backdoor would be added to to cause
                   misclassification into the target label.

art/attacks/poisoning/hidden_trigger_backdoor/hidden_trigger_backdoor_keras.py

@@ -81,9 +81,9 @@ def __init__(
         :param classifier: A trained neural network classifier.
         :param target: The target class/indices to poison. Triggers added to inputs not in the target class will
                        result in misclassifications to the target class. If an int, it represents a label.
-                       Otherwise, it is an array of indicies.
-        :param source: The class/indicies which will have a trigger added to cause misclassification
-                       If an int, it represents a label. Otherwise, it is an array of indicies.
+                       Otherwise, it is an array of indices.
+        :param source: The class/indices which will have a trigger added to cause misclassification
+                       If an int, it represents a label. Otherwise, it is an array of indices.
         :param feature_layer: The name of the feature representation layer.
         :param backdoor: A PoisoningAttackBackdoor that adds a backdoor trigger to the input.
         :param eps: Maximum perturbation that the attacker can introduce.

art/attacks/poisoning/hidden_trigger_backdoor/hidden_trigger_backdoor_pytorch.py

@@ -97,9 +97,9 @@ def __init__(
         :param classifier: A trained neural network classifier.
         :param target: The target class/indices to poison. Triggers added to inputs not in the target class will
                        result in misclassifications to the target class. If an int, it represents a label.
-                       Otherwise, it is an array of indicies.
-        :param source: The class/indicies which will have a trigger added to cause misclassification
-                       If an int, it represents a label. Otherwise, it is an array of indicies.
+                       Otherwise, it is an array of indices.
+        :param source: The class/indices which will have a trigger added to cause misclassification
+                       If an int, it represents a label. Otherwise, it is an array of indices.
         :param feature_layer: The name of the feature representation layer.
         :param backdoor: A PoisoningAttackBackdoor that adds a backdoor trigger to the input.
         :param eps: Maximum perturbation that the attacker can introduce.

art/estimators/certification/deep_z/__init__.py

@@ -1,4 +1,8 @@
 """
 DeepZ based certification estimators.
 """
+from art.estimators.certification.deep_z.deep_z import ZonoDenseLayer
+from art.estimators.certification.deep_z.deep_z import ZonoBounds
+from art.estimators.certification.deep_z.deep_z import ZonoConv
+from art.estimators.certification.deep_z.deep_z import ZonoReLU
 from art.estimators.certification.deep_z.pytorch import PytorchDeepZ

art/estimators/gan/__init__.py

@@ -0,0 +1,4 @@
+"""
+GAN Estimator API.
+"""
+from art.estimators.gan.tensorflow_gan import TensorFlow2GAN

art/estimators/generation/__init__.py

@@ -4,3 +4,4 @@
 from art.estimators.generation.generator import GeneratorMixin
 
 from art.estimators.generation.tensorflow import TensorFlowGenerator
+from art.estimators.generation.tensorflow import TensorFlow2Generator

art/experimental/estimators/__init__.py

@@ -0,0 +1,4 @@
+"""
+Experimental Estimator API
+"""
+from art.experimental.estimators.jax import JaxEstimator

docs/index.rst

@@ -76,17 +76,22 @@ Supported Machine Learning Libraries
    modules/defences/transformer_poisoning
    modules/estimators
    modules/estimators/certification
+   modules/estimators/certification_deep_z
    modules/estimators/certification_randomized_smoothing
    modules/estimators/classification
    modules/estimators/classification_scikitlearn
    modules/estimators/encoding
+   modules/estimators/gan
    modules/estimators/generation
    modules/estimators/object_detection
    modules/estimators/object_tracking
    modules/estimators/poison_mitigation
    modules/estimators/regression
    modules/estimators/regression_scikitlearn
    modules/estimators/speech_recognition
+   modules/experimental
+   modules/experimental/estimators
+   modules/experimental/estimators/classification
    modules/evaluations
    modules/metrics
    modules/preprocessing
@@ -95,6 +100,7 @@ Supported Machine Learning Libraries
    modules/preprocessing/standardisation_mean_std
    modules/data_generators
    modules/exceptions
+   modules/summary_writer
    modules/utils
    modules/tests/utils
 

docs/modules/attacks/inference/attribute_inference.rst

@@ -20,6 +20,12 @@ Attribute Inference Membership
    :members:
    :special-members:
 
+Attribute Inference Base Line True Label
+----------------------------------------
+.. autoclass:: AttributeInferenceBaselineTrueLabel
+   :members:
+   :special-members:
+
 Attribute Inference White-Box Lifestyle Decision-Tree
 -----------------------------------------------------
 .. autoclass:: AttributeInferenceWhiteBoxLifestyleDecisionTree