Thinking in High-Frequency: Practical Defense for Deepfake Detectors Against Black-box Adversarial Attacks.
Fuqiang Du|Min Yu|Jianguo Jiang|Yixin Zhang|Yachao Liang|Meng Zhang|Weiqing Huang
| Anthology ID: | DBLP:conf/mir/DuYJZLZH26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 2133-2141 |
| URL: | https://doi.org/10.1145/3805622.3810653 |
| DOI: | https://doi.org/10.1145/3805622.3810653 |
| DBLP: | conf/mir/DuYJZLZH26 |
| BibTeX: |
@inproceedings{du-2026-thinking,
author = {Fuqiang Du and
Min Yu and
Jianguo Jiang and
Yixin Zhang and
Yachao Liang and
Meng Zhang and
Weiqing Huang},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{Thinking in High-Frequency: Practical Defense for Deepfake Detectors Against Black-box Adversarial Attacks}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {2133--2141},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810653},
doi = {https://doi.org/10.1145/3805622.3810653}
}