Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions

Kok Swee Sim, Md Tahidul Islam

Open source

DOI: 10.3389/frai.2026.1848963
Published: 2026-07-14
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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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 = {Kok Swee Sim and Md Tahidul Islam},
  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  - Kok Swee Sim
AU  - Md Tahidul Islam
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1848963
UR  - https://doi.org/10.3389/frai.2026.1848963
ER  -

APA

Sim, K. S., & Islam, M. T. (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

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crossref · retrieved 2026-09-25T18:47:54.783Z