Popular GitHub Repositories for Injection Attack

A collection of GPT system prompts and various prompt injection/leaking knowledge.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

The Security Toolkit for LLM Interactions

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

Must-read Papers on Textual Adversarial Attack and Defense

My personal prompt library for various LLMs + scripts & tools. Suitable for models from Deepseek, OpenAI, Claude, Meta, Mistral, Google, Grok, and others.

LLM Prompt Injection Detector

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

It's not AI that takes away your job, but the people who master the use of AI tools. The most deadly attack is a dimension-reducing strike: destroying you has nothing to do with you - from "The Three-Body Problem". 中文说明： 抢走你工作的不是AI，而是掌握使用AI工具的人。 降维打击最为致命：毁灭你，与你何干《三体》

Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

A pytorch adversarial library for attack and defense methods on images and graphs

? LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ? Extracts signals from prompts & responses, ensuring safety & security. ?? Features include text quality, relevance metrics, & sentiment analysis. ? A comprehensive tool for LLM observability. ?

a prompt injection scanner for custom LLM applications

A curated list of adversarial attacks and defenses papers on graph-structured data.

An Open-Source Package for Textual Adversarial Attack.

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

# Prompt Engineering Hub ?? lovable.dev no code builders: https://www.aidevelopers.tech/

A Model for Natural Language Attack on Text Classification and Inference