Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions.
- DOI
- 10.3389/frai.2026.1848963
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1848963,
title = {Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions.},
author = {Sim KS and Islam MT},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1848963},
url = {https://doi.org/10.3389/frai.2026.1848963}
}RIS
TY - JOUR TI - Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions. AU - Sim KS AU - Islam MT PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1848963 UR - https://doi.org/10.3389/frai.2026.1848963 ER -
APA
KS, S., & MT, I. (2026). Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1848963
Source records
- pubmed · retrieved 2026-11-10T11:46:37.716Z