Tools
Tools
Correia, Simi Silvester and Kumar, Teerath (2025) Enhancing Deepfake Detection Accuracy with Region-Specific Models: A Case Study on Irish Media. In: 2025 Cyber Research Conference - Ireland (Cyber-RCI). IEEE, Galway, Ireland. ISBN 979-833154577-2
Full text not available from this repository.Abstract
Deepfakes are becoming harder to detect and more convincing than ever, threatening the trust we have in news, public figures, and digital communication. While many detection models already exist, most are trained on large, global datasets that do not reflect regional differences in faces, speech, or media context. This makes them less effective when applied to local content. In this research, the researcher focuses on building a region-specific deepfake detection system for Irish media. The project was carried out in three phases. In the first phase, real and fake images from Irish news sources were collected and used to build a proof-of-concept model. In the second phase, fake images were generated using the Stable Diffusion model, while realistic non-manipulated images were taken from This Person Does Not Exist because of their close resemblance to Irish features. In the third phase, the researcher tested cross-dataset performance by training on the global DFDC dataset and testing on Irish data, where accuracy dropped to 50 percent, showing that global models fail to generalize well to local content. Finally, by mixing both datasets and emphasizing the Irish samples, the region-specific approach produced much stronger results. Overall, the global dataset achieved 50 percent accuracy (F1: 33 percent, ROC-AUC: 46.9 percent), while the region-specific dataset reached 74 percent accuracy (F1: 76 percent, ROC-AUC: 76 percent). These findings suggest that localized training not only improves accuracy but also strengthens the reliability of deepfake detection in Ireland, offering a model that can be adapted by other regions to safeguard media integrity.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Deepfake Detection; EfficientNet-B3; Irish Media; Resnet18; Stable Diffusion |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HE Transportation and Communications > Broadcasting Media Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
| Divisions: | School of Computing > Staff Research and Publications |
| Depositing User: | Tamara Malone |
| Date Deposited: | 28 Apr 2026 14:52 |
| Last Modified: | 28 Apr 2026 14:52 |
| URI: | https://norma.ncirl.ie/id/eprint/9291 |
Actions (login required)
 |
View Item |