Accepted by ACM Web Conference 2025 (WWW Companion 2025), Sydney, Australia
Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal[Paper]
Inzamamul Aalm, Md Tanvir Islam, Simon S. Woo*
| Department of Computer Science and Engineering, Sungkyunkwan University, South Korea | *Corresponding Author |
Dependencies
pip install -r requirements.txt
We use CUDA 11.3 for our experiment.
Run the attack
python run.py
Cite this Paper
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@inproceedings{alam2025saliency,
author = {Alam, Inzamamul and Islam, Md Tanvir and Woo, Simon S.},
title = {Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal},
publisher = {Association for Computing Machinery},
doi = {10.1145/3701716.3715519},
booktitle = {Companion Proceedings of the ACM on Web Conference 2025},
keywords = {adversarial attack, generative adversarial attack, regeneration attack, watermark elimination, watermark removal},
location = {Sydney NSW, Australia},
series = {WWW '25},
pages = {849–853},
numpages = {5},
year = {2025}
}Part of this project is based on WatermarkAttacker.