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TextAttack
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
★3.5kstars
Python
MIT
Updated: 1d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Security & Governance category, core strengths: adversarial-attacks/adversarial-examples
Who made it?Maintained by QData team, 3.5K⭐ on GitHub, #74 out of 413 in Security & Governance
Why does it exist?As the Security & Governance landscape evolved, the QData team identified the need for better adversarial-attacks solutions. TextAttack was created to simplify adversarial-examples workflows.
What can it do?Key use cases: adversarial-machine-learning, data-augmentation, machine-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/QData/TextAttack | 官网 https://textattack.readthedocs.io/en/master/
🔗 github.com/QData/TextAttack | 官网 https://textattack.readthedocs.io/en/master/
Topics
adversarial-attacksadversarial-examplesadversarial-machine-learningdata-augmentationmachine-learningnatural-language-processingnlpsecurity