What are the advanced features of TextAttack?
TextAttack offers several advanced features like adversarial training, data augmentation, and model evaluation.
Can you explain how adversarial training works in TextAttack?
Adversarial training in TextAttack involves generating adversarial examples to improve model robustness against attacks.
What types of models can I use with TextAttack?
TextAttack supports various models, including BERT, RoBERTa, and GPT-2, among others.
How does TextAttack handle data augmentation?
TextAttack uses techniques like synonym replacement and random insertion to create diverse training data.
Is there a way to visualize the results of my attacks?
Yes, TextAttack provides visualization tools to help you analyze the results of your adversarial attacks.
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