An invisible, robust copyright protection method for DNN-generated content.
- DOI
- 10.1016/j.neunet.2024.106391
- Published
- 2024 Sep
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2024.106391,
title = {An invisible, robust copyright protection method for DNN-generated content.},
author = {Wang D and Yao W and Jiang T and Zhou W and Lin L and Chen X},
year = {2024},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2024.106391},
url = {https://doi.org/10.1016/j.neunet.2024.106391}
}RIS
TY - JOUR TI - An invisible, robust copyright protection method for DNN-generated content. AU - Wang D AU - Yao W AU - Jiang T AU - Zhou W AU - Lin L AU - Chen X PY - 2024 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2024.106391 UR - https://doi.org/10.1016/j.neunet.2024.106391 ER -
APA
D, W., W, Y., T, J., W, Z., L, L., & X, C. (2024). An invisible, robust copyright protection method for DNN-generated content.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2024.106391
Source records
- pubmed · retrieved 2026-09-26T02:11:09.997Z