Shuo-Yen Lin, Jun-Cheng Chen, Jia-Ching Wang. A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery. In IEEE International Conference on Visual Communications and Image Processing, VCIP 2022, Suzhou, China, December 13 - 16, 2022. pages 1-5, IEEE, 2022. [doi]
@inproceedings{LinCW22-3,
title = {A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery},
author = {Shuo-Yen Lin and Jun-Cheng Chen and Jia-Ching Wang},
year = {2022},
doi = {10.1109/VCIP56404.2022.10008794},
url = {https://doi.org/10.1109/VCIP56404.2022.10008794},
researchr = {https://researchr.org/publication/LinCW22-3},
cites = {0},
citedby = {0},
pages = {1-5},
booktitle = {IEEE International Conference on Visual Communications and Image Processing, VCIP 2022, Suzhou, China, December 13 - 16, 2022},
publisher = {IEEE},
isbn = {978-1-6654-7592-1},
}