Results 91 to 100 of about 130,964 (204)

Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection

open access: yesIEEE Transactions on Information Forensics and Security
The source code and models are publicly available at https://github.com/chenboluo ...
Decheng Liu   +5 more
openaire   +2 more sources

Application of improved GAN-LSTM-based fake face detection technique in electronic data forensics

open access: yesDiscover Artificial Intelligence
This study proposes a detection method based on an improved GAN-LSTM fusion model to address the challenges of insufficient feature extraction and poor robustness in face forgery detection during electronic data forensics.
Yang Lei
doaj   +1 more source

Forgery-Aware Guided Spatial–Frequency Feature Fusion for Face Image Forgery Detection

open access: yesSymmetry
The rapid development of deepfake technologies has led to the widespread proliferation of facial image forgeries, raising significant concerns over identity theft and the spread of misinformation. Although recent dual-domain detection approaches that integrate spatial and frequency features have achieved noticeable progress, they still suffer from ...
Zhenxiang He, Zhihao Liu, Ziqi Zhao
openaire   +1 more source

Learning Natural Consistency Representation for Face Forgery Video Detection

open access: yes
Face Forgery videos have elicited critical social public concerns and various detectors have been proposed. However, fully-supervised detectors may lead to easily overfitting to specific forgery methods or videos, and existing self-supervised detectors are strict on auxiliary tasks, such as requiring audio or multi-modalities, leading to limited ...
Zhang, Daichi   +5 more
openaire   +2 more sources

Face forgery detection using conditional GAN

open access: yes
Face forgery in videos is an increasing threat due to an easy access to manipulation tools. This work propose a Deep Learning approach to generate a mask showing the region of a tampered face. A Conditional Generative Adversarial Network is used,a total of 16 features are extracted from the video and used as input of the network.
openaire   +1 more source

CrossDF: improving cross-domain deepfake detection with deep information decomposition. [PDF]

open access: yesFront Big Data
Yang S   +7 more
europepmc   +1 more source

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