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  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.
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- - **ProGuard Paper:** [ProGuard: Towards Proactive Multimodal Safeguard](https://arxiv.org/abs/2512.23573)
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- - **Project Page:** [DeepSight Homepage](https://ai45.shlab.org.cn/safety-entry)
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- - **GitHub Repository:** [DeepSafe (Safety Evaluation ToolKit)](https://github.com/AI45Lab/DeepSafe)
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- - **DeepSight Paper:** [DeepSight: An All-in-One LM Safety Toolkit](https://huggingface.co/papers/2602.12092)
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  This model is the official open-source implementation of **ProGuard**. For deployment instructions, please refer to **[this link](https://github.com/yushaohan/ProGuard/tree/master/deploy)**.
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  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.
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+ - **Arxiv Paper:** [ProGuard: Towards Proactive Multimodal Safeguard](https://arxiv.org/abs/2512.23573)
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+ - **Project Page:** [ProGuard Homepage](https://yushaohan.github.io/ProGuard/)
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+ - **GitHub Repository:** [ProGuard Implementation](https://github.com/yushaohan/ProGuard), [DeepSafe Implementation](https://github.com/AI45Lab/DeepSafe)
 
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  This model is the official open-source implementation of **ProGuard**. For deployment instructions, please refer to **[this link](https://github.com/yushaohan/ProGuard/tree/master/deploy)**.
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