Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion

Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion

The rapid advancement in deep forgery technology in recent years has created highly deceptive face video content, posing significant security risks. Detecting these fakes is increasingly urgent and challenging. To improve the accuracy of deepfake face detection models and strengthen their resistance...

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Bibliographic Details
Main Authors: Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
diffusion model
facial geometry
texture feature enhancement
deepfake face detection
multi-feature decision fusion
adversarial attack and defense
Online Access:https://www.mdpi.com/2076-3417/15/12/6588
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