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updated notebooks readme
Signed-off-by: Farhan Ahmed <[email protected]>
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notebooks/README.md

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@@ -303,3 +303,14 @@ Demonstrates training a neural network using smoothed vision transformers for ce
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[fabric_for_deep_learning_adversarial_samples_fashion_mnist.ipynb](fabric_for_deep_learning_adversarial_samples_fashion_mnist.ipynb) [[on nbviewer](https://nbviewer.jupyter.org/github/Trusted-AI/adversarial-robustness-toolbox/blob/main/notebooks/fabric_for_deep_learning_adversarial_samples_fashion_mnist.ipynb)]
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shows how to use ART with deep learning models trained with the Fabric for Deep Learning (FfDL).
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## Hugging Face
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[huggingface_notebook.ipynb](huggingface_notebook.ipynb) [[on nbviewer](https://nbviewer.jupyter.org/github/Trusted-AI/adversarial-robustness-toolbox/blob/main/notebooks/huggingface_notebook.ipynb)]
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shows how to use ART with the Hugging Face API for image classification tasks.
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[hugging_face_evasion.ipynb](hugging_face_evasion.ipynb) [[on nbviewer](https://nbviewer.jupyter.org/github/Trusted-AI/adversarial-robustness-toolbox/blob/main/notebooks/hugging_face_evasion.ipynb)]
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shows how to use ART to perform evasion attacks on Hugging Face image classification models and defend them using adversarial training.
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[hugging_face_poisoning.ipynb](hugging_face_poisoning.ipynb) [[on nbviewer](https://nbviewer.jupyter.org/github/Trusted-AI/adversarial-robustness-toolbox/blob/main/notebooks/hugging_face_poisoning.ipynb)]
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shows how to use ART to perform poison Hugging Face image classification models and defend them using poisoning defenses.

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