Deepfakes Detection by Iris Analysis
Deepfake is an advanced technology that creates extremely realistic facial images and videos. This new technique operates under specific conditions and has a wide range of applications. For example, it can be used in the entertainment industry to create impressive visual effects or to insert actors...
Saved in:
| Main Authors: | Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10835076/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Eyes: A Source of Information for Detecting Deepfakes
by: Elisabeth Tchaptchet, et al.
Published: (2025-04-01) -
A comparative study of deepfake facial manipulation technique using generative adversarial networks
by: Wasin Al Kishri, et al.
Published: (2025-06-01) -
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
by: Daeun Song, et al.
Published: (2024-01-01) -
MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer
by: Van-Nhan Tran, 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)