Implement Adversarial Texture Attack on Object Trackers

.github/actions/goturn/run.sh

@@ -4,5 +4,7 @@ exit_code=0
 
 pytest --cov-report=xml --cov=art --cov-append -q -vv tests/estimators/object_tracking/test_pytorch_goturn.py --framework=pytorch --durations=0
 if [[ $? -ne 0 ]]; then exit_code=1; echo "Failed estimators/object_tracking/test_pytorch_goturn tests"; fi
+pytest --cov-report=xml --cov=art --cov-append -q -vv tests/attacks/evasion/test_adversarial_texture_pytorch.py --framework=pytorch --durations=0
+if [[ $? -ne 0 ]]; then exit_code=1; echo "Failed attacks/evasion/test_adversarial_texture_pytorch tests"; fi
 
 exit ${exit_code}

.github/workflows/ci-style-checks.yml

@@ -38,6 +38,7 @@ jobs:
           python -m pip install --upgrade pip setuptools wheel
           pip install -q pylint==2.7.4 mypy==0.812 pycodestyle==2.7.0 black==20.8b1
           pip install -q -r requirements_test.txt
+          pip install pluggy==0.13.1
           pip install tensorflow==2.4.1
           pip install keras==2.4.3
           pip list

art/attacks/evasion/__init__.py

@@ -5,6 +5,7 @@
 from art.attacks.evasion.adversarial_patch.adversarial_patch_numpy import AdversarialPatchNumpy
 from art.attacks.evasion.adversarial_patch.adversarial_patch_tensorflow import AdversarialPatchTensorFlowV2
 from art.attacks.evasion.adversarial_patch.adversarial_patch_pytorch import AdversarialPatchPyTorch
+from art.attacks.evasion.adversarial_texture.adversarial_texture_pytorch import AdversarialTexturePyTorch
 from art.attacks.evasion.adversarial_asr import CarliniWagnerASR
 from art.attacks.evasion.auto_attack import AutoAttack
 from art.attacks.evasion.auto_projected_gradient_descent import AutoProjectedGradientDescent