Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.
- DOI
- 10.1038/s41598-026-55325-y
- Published
- 2026 May 29
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55325-y,
title = {Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.},
author = {Rout J and Mishra M and Barik RC and Yadav DK and Prasad DK and Sekh AA},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55325-y},
url = {https://doi.org/10.1038/s41598-026-55325-y}
}RIS
TY - JOUR TI - Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics. AU - Rout J AU - Mishra M AU - Barik RC AU - Yadav DK AU - Prasad DK AU - Sekh AA PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55325-y UR - https://doi.org/10.1038/s41598-026-55325-y ER -
APA
J, R., M, M., RC, B., DK, Y., DK, P., & AA, S. (2026). Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.. Scientific reports. https://doi.org/10.1038/s41598-026-55325-y
Source records
- pubmed · retrieved 2026-09-25T22:08:51.672Z