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README.md

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-<h2 align="center">Benchmarking Trustworthiness of Multimodal Large Language Models:<br>
-A Comprehensive Study
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     🌐 <a href="https://multi-trust.github.io/">Project Page</a> &nbsp&nbsp
     📖 <a href="https://arxiv.org/abs/2406.07057">arXiv Paper</a> &nbsp&nbsp
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+> **MultiTrust** is a comprehensive benchmark designed to assess and enhance the trustworthiness of MLLMs across five key dimensions: truthfulness, safety, robustness, fairness, and privacy. It integrates a rigorous evaluation strategy involving 32 diverse tasks to expose new trustworthiness challenges. 
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-> **MultiTrust** is a comprehensive benchmark designed to assess and enhance the trustworthiness of MLLMs across five key dimensions: truthfulness, safety, robustness, fairness, and privacy. It integrates a rigorous evaluation strategy involving 32 diverse tasks to expose new trustworthiness challenges. 
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 ## 🚀 News