Awesome-Jailbreak-on-LLMs

A collection of state-of-the-art jailbreak methods for LLMs, including papers, codes, datasets, and analyses.

Introduction

Awesome-Jailbreak-on-LLMs

Awesome-Jailbreak-on-LLMs is a comprehensive repository that focuses on innovative jailbreak methods for Large Language Models (LLMs). This collection includes:

Papers: Access to cutting-edge research papers detailing various jailbreak techniques.
Codes: Source code implementations of the jailbreak methods for practical use.
Datasets: Curated datasets that can be used for testing and evaluation of the jailbreak methods.
Evaluations: Detailed analyses and evaluations of the effectiveness of different jailbreak strategies.
Contributions: Open to contributions from the community, encouraging collaboration and sharing of knowledge.

This repository serves as a valuable resource for researchers and practitioners interested in the security and robustness of LLMs, providing insights into both attack and defense mechanisms.

Back