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- [[Paper]](https://huggingface.co/papers/2501.09446) [[github]](https://github.com/zw615/Double_Visual_Defense)
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  A Delta2-LLaVA-v1.5-7B Model that is adversarially visual instruction tuned with LLaVA1.5 data to reach non-robust-VLM helpfulness levels on clean data while being robust on adversarially attacked data. This model is presented in the paper [Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness](https://huggingface.co/papers/2501.09446).
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+ [[Paper]](https://arxiv.org/pdf/2501.09446) [[github]](https://github.com/zw615/Double_Visual_Defense)
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  A Delta2-LLaVA-v1.5-7B Model that is adversarially visual instruction tuned with LLaVA1.5 data to reach non-robust-VLM helpfulness levels on clean data while being robust on adversarially attacked data. This model is presented in the paper [Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness](https://huggingface.co/papers/2501.09446).
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