AWP

Adversary Emulation Framework

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

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

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

A unified evaluation framework for large language models

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

PyTorch implementation of adversarial attacks [torchattacks]

Must-read Papers on Textual Adversarial Attack and Defense