Improved-Regularization-of-Convolutional-Neural-Networks

Adversary Emulation Framework

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

A unified evaluation framework for large language models

PyTorch implementation of adversarial attacks [torchattacks]

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Classification with PyTorch.

Must-read Papers on Textual Adversarial Attack and Defense

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet