ProGuard-7B

ProGuard is a proactive multimodal safeguard model. It is designed to identify and reason about unknown risks across both text and visual modalities, moving beyond rigid predefined classification systems.

• Arxiv Paper: ProGuard: Towards Proactive Multimodal Safeguard
• Project Page: ProGuard Homepage
• GitHub Repository: ProGuard Implementation, DeepSafe Implementation

This model is the official open-source implementation of ProGuard. For deployment instructions, please refer to this link.

Citation

If you find this model helpful, please cite our research:

@article{yu2025proguard,
  title={ProGuard: Towards Proactive Multimodal Safeguard},
  author={Yu, Shaohan and Li, Lijun and Si, Chenyang and Sheng, Lu and Shao, Jing},
  journal={arXiv preprint arXiv:2512.23573},
  year={2025},
  url={https://yushaohan.github.io/ProGuard/}
}

@article{zhang2026deepsight,
  title={DeepSight: An All-in-One LM Safety Toolkit},
  author={Zhang, Bo and Guo, Jiaxuan and Li, Lijun and Liu, Dongrui and Chen, Sujin and Chen, Guanxu and Zheng, Zhijie and Lin, Qihao and Yan, Lewen and Qian, Chen and others},
  journal={arXiv preprint arXiv:2602.12092},
  year={2026}
}