Hybrid Convolutional Neural Network and Generative Adversarial Network Framework for Robust Deepfake Detection: Advancing Accuracy, Scalability, and Multimodal Integration.
- DOI
- 10.3791/68426
- Published
- 2025 Aug 19
- Container
- Journal of visualized experiments : JoVE
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3791/68426,
title = {Hybrid Convolutional Neural Network and Generative Adversarial Network Framework for Robust Deepfake Detection: Advancing Accuracy, Scalability, and Multimodal Integration.},
author = {Gupta P and Gupta S and Goel L and Agarwal AK and Singh A and Ramesh G},
year = {2025},
journal = {Journal of visualized experiments : JoVE},
doi = {10.3791/68426},
url = {https://doi.org/10.3791/68426}
}RIS
TY - JOUR TI - Hybrid Convolutional Neural Network and Generative Adversarial Network Framework for Robust Deepfake Detection: Advancing Accuracy, Scalability, and Multimodal Integration. AU - Gupta P AU - Gupta S AU - Goel L AU - Agarwal AK AU - Singh A AU - Ramesh G PY - 2025 JO - Journal of visualized experiments : JoVE DO - 10.3791/68426 UR - https://doi.org/10.3791/68426 ER -
APA
P, G., S, G., L, G., AK, A., A, S., & G, R. (2025). Hybrid Convolutional Neural Network and Generative Adversarial Network Framework for Robust Deepfake Detection: Advancing Accuracy, Scalability, and Multimodal Integration.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/68426
Source records
- pubmed · retrieved 2026-09-25T07:55:55.110Z