Face forgery detection - Open Access .click

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Generalization challenges in video deepfake detection: methods, obstacles, and technological advances

大数据
With the rapid development of artificial intelligence, deepfake technology has become a powerful tool for generating realistic audio, images, and videos. However, its widespread use and decreasing costs pose serious threats to personal privacy and social
Li Junjie +3 more
doaj

AGIL-SwinT: Attention-guided inconsistency learning for face forgery detection

Face forgery detection (FFD) plays a vital role in maintaining the security and integrity of various information and media systems. Forgery inconsistency caused by manipulation techniques has been proven to be effective for generalizing to the unseen ...
Zhao, Guoying, Xiong, Wuti, Chen, Haoyu, Li, Xiaobai +3 more
core +1 more source

Towards Generalizable Deepfake Detection: An Inconsistency-Aware Vision-Language Model Tuning Approach. [PDF]

Sensors (Basel)
Zhang L, Peng S, Xu M, Lu T.
europepmc +1 more source

Dual-domain self-supervised feature alignment via spectral-spatial representation learning for deepfake anomaly detection. [PDF]

PLoS One
He Y.
europepmc +1 more source

Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research. [PDF]

Pattern Anal Appl
Muhammed A, Marcos J, Gonçalves N.
europepmc +1 more source

Multi-scale optical scanning holography for robust manipulation detection in satellite images. [PDF]

Sci Rep
Khairy M.
europepmc +1 more source

Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions. [PDF]

Front Artif Intell
Sim KS, Islam MT.
europepmc +1 more source

Bioinspired Adaptive-Depth Neural Growth for Deepfake Video Forensics: An Entropy-Guided State-Space Framework. [PDF]

Biomimetics (Basel)
Hussain M, Saeed F, Aldera S.
europepmc +1 more source