Localization and detection of deepfake videos based on self-blending method
Abstract Deepfake technology, which encompasses various video manipulation techniques implemented through deep learning algorithms-such as face swapping and expression alteration-has advanced to generate fake videos that are increasingly difficult for human observers to detect, posing significant th...
Saved in:
Main Authors: | Junfeng Xu, Xintao Liu, Weiguo Lin, Wenqing Shang, Yuefeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-025-88523-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection
by: Pengfei Yue, et al.
Published: (2024-09-01) -
Robust deepfake detection method based on siamese network
by: LIN Shanhe
Published: (2024-04-01) -
Deepfake detection method based on patch-wise lighting inconsistency
by: Wenxuan WU, et al.
Published: (2023-02-01) -
Deepfake swapped face detection based on double attention
by: Xiaojuan GONG, et al.
Published: (2021-04-01) -
Explainable AI for DeepFake Detection
by: Nazneen Mansoor, et al.
Published: (2025-01-01)