---
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: [range@mail.ustc.edu.cn](mailto:range@mail.ustc.edu.cn)

General Inquiries: [chenkj@ustc.edu.cn](mailto:chenkj@ustc.edu.cn)