Showing 1-7 of 7 projects
A Python library for machine learning security, providing tools for adversarial attacks and defenses.
A data augmentation library for natural language processing (NLP) tasks, enabling developers to improve model performance.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
A toolbox for adversarial robustness research, focused on building more secure machine learning models.
A PyTorch library for attacking and defending deep learning models against adversarial examples.
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