robust-graph-convolutional-networks-against-adversarial-attacks-implementation

Graph Neural Network Library for PyTorch

Adversary Emulation Framework

links to conference publications in graph-based deep learning

Data augmentation for NLP

TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A distributed graph deep learning framework.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

A unified evaluation framework for large language models

PyTorch implementation of adversarial attacks [torchattacks]

Must-read Papers on Textual Adversarial Attack and Defense