Specify Privacy Yourself
Collection
Fine-tuned model checkpoints of the paper "Specify Privacy Yourself: Assessing Inference-Time Personalized Privacy Preservation Ability of LVLMs".
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SPY_Qwen2-VL-7B-Instruct_SFT
This model is a fine-tuned version of Qwen2-VL-7B, trained on our SPY-Tune dataset using the SFT algorithm.
It serves as one of the finetuning baselines in our ACM Multimedia 2025 BNI Oral paper:
Specify Privacy Yourself: Assessing Inference-Time Personalized Privacy Preservation Ability of Large Vision-Language Models
For more details about the dataset, training process, and evaluation metrics, please refer to our GitHub repository: https://github.com/achernarwang/specify-privacy-yourself
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