Update docs

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

Author: Beat Buesser

art/attacks/evasion/__init__.py

@@ -28,6 +28,7 @@
 from art.attacks.evasion.imperceptible_asr.imperceptible_asr import ImperceptibleASR
 from art.attacks.evasion.imperceptible_asr.imperceptible_asr_pytorch import ImperceptibleASRPyTorch
 from art.attacks.evasion.iterative_method import BasicIterativeMethod
+from art.attacks.evasion.laser_attack.laser_attack import LaserAttack
 from art.attacks.evasion.lowprofool import LowProFool
 from art.attacks.evasion.newtonfool import NewtonFool
 from art.attacks.evasion.pe_malware_attack import MalwareGDTensorFlow

art/attacks/evasion/adversarial_texture/adversarial_texture_pytorch.py

@@ -324,6 +324,7 @@ def generate(  # type: ignore  # pylint: disable=W0222
         :param x: Input videos of shape NFHWC.
         :param y: True labels of format `List[Dict[str, np.ndarray]]`, one dictionary for each input image. The keys of
                   the dictionary are:
+
                   - boxes [N_FRAMES, 4]: the boxes in [x1, y1, x2, y2] format, with 0 <= x1 < x2 <= W and
                                          0 <= y1 < y2 <= H.
 

art/attacks/inference/membership_inference/label_only_boundary_distance.py

@@ -18,8 +18,8 @@
 """
 This module implements the Label-Only Inference Attack based on Decision Boundary.
 
-| Paper link: https://arxiv.org/abs/2007.14321 (Choquette-Choo et al.) and https://arxiv.org/abs/2007.15528 (Li and
-Zhang)
+| Paper link: https://arxiv.org/abs/2007.14321 (Choquette-Choo et al.)
+| Paper link: https://arxiv.org/abs/2007.15528 (Li and Zhang)
 """
 import logging
 from typing import Optional, TYPE_CHECKING
@@ -41,10 +41,10 @@ class LabelOnlyDecisionBoundary(MembershipInferenceAttack):
     """
     Implementation of Label-Only Inference Attack based on Decision Boundary.
 
-    | Paper link: https://arxiv.org/abs/2007.14321 (Choquette-Choo et al.) and https://arxiv.org/abs/2007.15528 (Li
-    and Zhang)
-
     You only need to call ONE of the calibrate methods, depending on which attack you want to launch.
+
+    | Paper link: https://arxiv.org/abs/2007.14321 (Choquette-Choo et al.)
+    | Paper link: https://arxiv.org/abs/2007.15528 (Li and Zhang)
     """
 
     attack_params = MembershipInferenceAttack.attack_params + [

art/estimators/object_tracking/__init__.py

@@ -1,4 +1,6 @@
 """
 Module containing estimators for object tracking.
 """
+from art.estimators.object_tracking.object_tracker import ObjectTrackerMixin
+
 from art.estimators.object_tracking.pytorch_goturn import PyTorchGoturn

art/estimators/poison_mitigation/__init__.py

@@ -3,3 +3,5 @@
 """
 from art.estimators.poison_mitigation import neural_cleanse
 from art.estimators.poison_mitigation.strip import strip
+from art.estimators.poison_mitigation.neural_cleanse.keras import KerasNeuralCleanse
+from art.estimators.poison_mitigation.strip.strip import STRIPMixin

docs/index.rst

@@ -82,9 +82,10 @@ Supported Machine Learning Libraries
    modules/estimators/encoding
    modules/estimators/generation
    modules/estimators/object_detection
-   modules/estimators/poison_mitigation_neural_cleanse
-   modules/estimators/poison_mitigation_strip
+   modules/estimators/object_tracking
+   modules/estimators/poison_mitigation
    modules/estimators/regression
+   modules/estimators/regression_scikitlearn
    modules/estimators/speech_recognition
    modules/evaluations
    modules/metrics

docs/modules/attacks/evasion.rst

@@ -26,6 +26,12 @@ Adversarial Patch - TensorFlowV2
    :members:
    :special-members:
 
+Adversarial Texture - PyTorch
+-----------------------------
+.. autoclass:: AdversarialTexturePyTorch
+   :members:
+   :special-members:
+
 Auto Attack
 -----------
 .. autoclass:: AutoAttack
@@ -194,6 +200,12 @@ Projected Gradient Descent (PGD) - TensorFlowV2
    :members:
    :special-members:
 
+LaserAttack
+-----------
+.. autoclass:: LaserAttack
+   :members:
+   :special-members:
+
 LowProFool
 ----------
 .. autoclass:: LowProFool

docs/modules/estimators/classification.rst

@@ -26,6 +26,13 @@ BlackBox Classifier NeuralNetwork
    :special-members: __init__
    :inherited-members:
 
+Deep Partition Aggregation Classifier
+-------------------------------------
+.. autoclass:: DeepPartitionEnsemble
+   :members:
+   :special-members: __init__
+   :inherited-members:
+
 Keras Classifier
 ----------------
 .. autoclass:: KerasClassifier

docs/modules/estimators/object_detection.rst

@@ -9,6 +9,13 @@ Mixin Base Class Object Detector
    :special-members: __init__
    :inherited-members:
 
+Object Detector PyTorch
+-----------------------
+.. autoclass:: PyTorchObjectDetector
+   :members:
+   :special-members: __init__
+   :inherited-members:
+
 Object Detector PyTorch Faster-RCNN
 -----------------------------------
 .. autoclass:: PyTorchFasterRCNN

docs/modules/estimators/object_tracking.rst

@@ -0,0 +1,17 @@
+:mod:`art.estimators.object_tracking`
+======================================
+.. automodule:: art.estimators.object_tracking
+
+Mixin Base Class Object Tracker
+-------------------------------
+.. autoclass:: ObjectTrackerMixin
+   :members:
+   :special-members: __init__
+   :inherited-members:
+
+Object Tracker PyTorch GOTURN
+-----------------------------
+.. autoclass:: PyTorchGoturn
+   :members:
+   :special-members: __init__
+   :inherited-members: