Update README.md

README.md

@@ -1,3 +1,52 @@
----
-license: mit
----
+---
+license: mit
+---
+
+# De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
+
+**Paper:** [https://huggingface.co/papers/2507.02606](https://huggingface.co/papers/2507.02606)
+
+**Code and usage instructions:** [https://github.com/cyberrrange/De-AntiFake](https://github.com/cyberrrange/De-AntiFake)
+
+**Project Page:** [https://de-antifake.github.io](https://de-antifake.github.io)
+
+## Download Model Weights
+
+To use our model, you can follow the instruction in our [github reposity](https://github.com/cyberrrange/De-AntiFake). The model weights are hosted in this repository. You can download them using the `huggingface_hub` library:
+
+```python
+from huggingface_hub import hf_hub_download
+
+
+purification_weights_path = hf_hub_download(
+    repo_id="cyberrrange/De-AntiFake",
+    filename="purification.pkl"
+)
+
+print(f"Purification Model weights downloaded to: {purification_weights_path}")
+
+refinement_weights_path = hf_hub_download(
+    repo_id="cyberrrange/De-AntiFake",
+    filename="refinement.ckpt"
+)
+
+print(f"Refinement Model weights downloaded to: {refinement_weights_path}")
+```
+## Citation
+
+If you use this model, please consider citing our paper:
+
+```
+@inproceedings{de-antifake-icml2025,
+  title = {De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks},
+  author = {Fan, Wei and Chen, Kejiang and Liu, Chang and Zhang, Weiming and Yu, Nenghai},
+  booktitle = {International Conference on Machine Learning},
+  year = {2025},
+}
+```
+
+## Contact
+
+Technical Questions: [[email protected]](mailto:[email protected])
+
+General Inquiries: [[email protected]](mailto:[email protected])