File size: 1,658 Bytes
02da6e0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
---
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) |