Improve model card and add paper link

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+pipeline_tag: zero-shot-image-classification
+---
+
+# Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction
+
+This repository contains the official implementation of **SADCA** (Semantic-Augmented Dynamic Contrastive Attack), presented in the paper [Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction](https://arxiv.org/abs/2603.04839).
+
+SADCA is a framework designed to enhance the transferability of adversarial attacks against vision-language pre-training (VLP) models. It progressively disrupts cross-modal alignment through dynamic interactions between adversarial images and texts, using a contrastive learning mechanism involving adversarial, positive, and negative samples to reinforce semantic inconsistency.
+
+## Links
+- **Paper**: [https://arxiv.org/abs/2603.04839](https://arxiv.org/abs/2603.04839)
+- **GitHub**: [https://github.com/LiYuanBoJNU/SADCA](https://github.com/LiYuanBoJNU/SADCA)
+
+## Citation
+```bibtex
+@article{li2026towards,
+  title={Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction},
+  author={Li, Yuanbo and Xu, Tianyang and Hu, Cong and Zhou, Tao and Wu, Xiao-Jun and Kittler, Josef},
+  journal={arXiv preprint arXiv:2603.04839},
+  year={2026}
+}
+```