xunhuang123/CC-BOS

Chinese-first LLM jailbreak benchmark & red-team toolkit | 中文LLM安全评测框架 | by POJIA.AI

An easy-to-use Python framework to generate adversarial jailbreak prompts.

Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

This repository provides a benchmark for prompt injection attacks and defenses in LLMs

[ICML 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".

A repo for all the jailbreaks

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

A structured, versioned archive of adversarial prompt engineering techniques against Large Language Models — for AI safety research, red-teaming, and defensive hardening.