DrAttack

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

Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.

ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.

PyTorch implementation of adversarial attacks [torchattacks]

Master Federated Learning in 2 Hours—Run It on Your PC!

The Security Toolkit for LLM Interactions