Comments (1)
Yes, you're right, I will add the preprocessing step. This is not an issue for the notebook on poisoning, as that example works on MNIST, which is preprocessed (normalized to 1) when loaded.
from adversarial-robustness-toolbox.
Related Issues (20)
- Incorrect Documentation regarding attacks.poisoning HOT 1
- Auto PGD not working with DLR loss for binary classification HOT 1
- ERROR collecting tests/attacks/evasion/test_brendel_and_bethge.py
- Measured Linf norm exceeds epsilon for ACG HOT 1
- Risky values in tests
- Gradient Explosion
- Robust
- Rr
- adversarial audio example notebook not giving the same results HOT 2
- Unable to utilize PytorchClassifier for ASR model HOT 1
- List of projects/tools utilising ART [JATIC-I4-IBM]
- Attack > Evasion > Momentum Iterative Method: major issues HOT 1
- Package cannot be imported after installing with pip HOT 3
- Deprecated `pkg_resources` raises `DeprecationWarning`s HOT 3
- UserWarning and RuntimeError in ProjectedGradientDescent due to Non-Writable NumPy Array and Device Mismatch HOT 1
- Acknowledged contributor (mistakenly?) removed from `AUTHORS` off-PR HOT 2
- KerasClassifier not compatible with latest versions of Keras and TensorFlow HOT 1
- Yolox Integration
- Semantic version checking in some modules/tests do not account for epoch, pre/post-release, or development release segments HOT 1
- float type mismatch
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