Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection
In recent years, with the rapid development of deepfake technology, a large number of deepfake videos have emerged on the Internet, which poses a huge threat to national politics, social stability, and personal privacy. Although many existing deepfake detection methods exhibit excellent performance...
Saved in:
Main Authors: | Pengfei Yue, Beijing Chen, Zhangjie Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-09-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020030 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deepfake detection method based on patch-wise lighting inconsistency
by: Wenxuan WU, et al.
Published: (2023-02-01) -
Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection
by: Zishuo Guo, et al.
Published: (2024-12-01) -
SLM-DFS: A systematic literature map of deepfake spread on social media
by: El-Sayed Atlam, et al.
Published: (2025-01-01) -
Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects
by: Naveed Ur Rehman Ahmed, et al.
Published: (2025-01-01) -
BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism
by: Demao Xiong, et al.
Published: (2025-01-01)