Comments (1)
Hi @CETC-AI-TestGroup This would require an estimator for segmentation models, which could follow closely the existing estimators for object detection. We have not yet scheduled the implementation of such an estimator. Would you be interested to work on this feature?
from adversarial-robustness-toolbox.
Related Issues (20)
- cannot import name 'TensorFlowV2RandomizedSmoothing' from partially initialized module HOT 2
- Adversarial Patch Error in `PyTorchObjectDetector` HOT 1
- Remove unintended required dependency on PIL
- zipfile.BadZipFile: File is not a zip file HOT 2
- Update lingo workflow to most recent release versions HOT 1
- DPatch Attack Error in `PyTorchObjectDetector`
- AutoAttack runs targeted attacks when not supported
- Multiple Issues with attack_adversarial_patch_pytorch_yolo.ipynb
- `PyTorchYolo` and `PyTorchObjectDetector` modify the original numpy array HOT 1
- Change the `channels_first` parameter in `PyTorchObjectDetector` and `PyTorchFasterRCNN` to `True`
- Subclass the `PyTorchYolo` and `PyTorchDetectionTransformer` estimators off the `PyTorchObjectDetector` estimator class HOT 1
- Subclass the `PyTorchDetectionTransformer` estimator off the `PyTorchObjectDetector` estimator HOT 1
- Printable representation of Attack objects [JATIC-I2-IBM]
- Troubleshooting and Solution for 'unsupported operand type(s) for /' Error in adversarial_patch_tensorflow.py (Line 277) HOT 2
- Square Attack Bug: Tensor shape mismatch resulting in ValueError when attempting broadcast HOT 3
- Implementation of Progress Bars for ART Estimators
- Can CLEVER's evaluation metrics be used in our pytorch models? How to use it, thank you.
- Flexible metric function for accuracy and l2 norm [JATIC-I2-IBM]
- NaNs in Wasserstein Attack HOT 5
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