Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+pipeline_tag: text-to-image
+library_name: transformers
+---
+
+# 🛡️DAA: Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
+
+This repository contains artifacts and code related to the paper: [**Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models**](https://huggingface.co/papers/2504.20518).
+
+Code: https://github.com/Robin-WZQ/DAA
+
+This study introduces a novel backdoor detection perspective from **Dynamic Attention Analysis (DAA)**, which shows that the **dynamic feature in attention maps** can serve as a much better indicator for backdoor detection in text-to-image diffusion models. By examining the dynamic evolution of cross-attention maps, backdoor samples exhibit distinct feature evolution patterns compared to benign samples, particularly at the `<EOS>` token.
+
+## 📄 Citation
+
+If you find this project useful in your research, please consider cite:
+```bibtex
+@article{wang2025dynamicattentionanalysisbackdoor,
+  title={Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models},
+  author={Zhongqi Wang and Jie Zhang and Shiguang Shan and Xilin Chen},
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
+  year={2025},
+}
+```