diff --git a/README.md b/README.md index b7aebc9..7f83379 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # CyberGym: A Evaluating AI Agents’ Cybersecurity Capabilities with Real-World Vulnerabilities at Scale [![Website](https://img.shields.io/badge/Website-cybergym.io-0a9396?style=flat&logo=Google-Chrome&logoColor=white)](https://cybergym.io) -[![ArXiv](https://img.shields.io/badge/arXiv-xxxx.yyyy-b31b1b?style=flat&logo=arxiv&logoColor=white)](https://arxiv.org/abs/xxxx.yyyy) -[![Hugging Face](https://img.shields.io/badge/HuggingFace-zzzz-orange?logo=huggingface&logoColor=white)](https://huggingface.co/zzzz) +[![ArXiv](https://img.shields.io/badge/arXiv-2506.02548-b31b1b?style=flat&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2506.02548) +[![Hugging Face](https://img.shields.io/badge/HuggingFace-cybergym-orange?logo=huggingface&logoColor=white)](https://huggingface.co/datasets/sunblaze-ucb/cybergym) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) CyberGym is a large-scale, high-quality cybersecurity evaluation framework designed to rigorously assess the capabilities of AI agents on real-world vulnerability analysis tasks.