Deep Learning for Deepfake Image Detection: Comparative Model Evaluation and Gradient-Based Visual Attribution
arXiv:2610.22676v1 Announce Type: new Abstract: Synthetic facial imagery has made the distinction between authentic and generated content increasingly important for digital forensics and online trust. This study examines an explainable deep-learning workflow for image-level deepfake detection using…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-10-19 04:00 · arXiv cs.CV
Deep Learning for Deepfake Image Detection: Comparative Model Evaluation and Gradient-Based Visual Attribution