README.md

Adversarial Machine Learning

An Adversarial Attack is a technique to find a perturbation that changes the prediction of a machine learning model. The perturbation can be very small and imperceptible to human eyes.

📄 Papers

• Papers with Code - Adversarial Attack

📰 Articles

• Adversarial machine learning on Wikipedia

🛠️ Libraries, frameworks, etc.

Title	Description, Information
TextAttack 🐙	TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
TextFlint	Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing TextFlint is a multilingual robustness evaluation platform for natural language processing, which unifies text transformation, sub-population, adversarial attack,and their combinations to provide a comprehensive robustness analysis. So far, TextFlint supports 13 NLP tasks. 📄 Paper: TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing TextFlint Documentation