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Generating Adversarial Examples for NLP Models with TextAttack

Parul Pandey
Created on March 28|Last edited on March 28
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
Source: https://github.com/QData/TextAttack

The library comes with a lot of features:
  • Understand NLP models better by running different adversarial attacks on them and examining the output
  • Research and develop different NLP adversarial attacks using the TextAttack framework and library of components
  • Augment your dataset to increase model generalization and robustness downstream
  • Train NLP models using just a single command

👉 More information: https://textattack.readthedocs.io/en/master/
👉 GitHub Repo: https://github.com/QData/TextAttack


Tags: ML News
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https://wandb.ai/pandeyparul/posts/reports/Generating-Adversarial-Examples-for-NLP-Models-with-TextAttack--VmlldzoxNzQ4MTUx
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