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A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

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Hi! Thanks for sharing your work Can you please provide the script for generating adversarial examples for Task R.4 and R.5 ?

![微信图片_20240828133736](https://github.com/user-attachments/assets/73aa8cfe-da0d-4011-8964-6462502e2c49)

Dear authors, does your method support testing models that have been fine-tuned and saved locally? If so, how should I proceed with this?

Hi, Niels here from the open-source team at Hugging Face. It's great to see you're releasing models + data on HF, I discovered your work through the paper page: https://huggingface.co/papers/2406.07057...