Results 21 to 30 of about 804 (252)
Enriching Facial Anti-Spoofing Datasets via an Effective Face Swapping Framework
Sensors, 2022 In the era of rapid development of the Internet of things, deep learning, and communication technologies, social media has become an indispensable element.
Jiachen Yang +5 more
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Generalization of Forgery Detection With Meta Deepfake Detection Model
IEEE Access, 2023 Face forgery generating algorithms that produce a range of manipulated videos/images have developed quickly. Consequently, this causes an increase in the production of fake information, making it difficult to identify.
Van-Nhan Tran +4 more
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Dual Attention Network Approaches to Face Forgery Video Detection
IEEE Access, 2022 Forged videos are commonly spread online. Most have malicious content and cause serious information security problems. The most critical issue in deepfake detection is the identification of traces of tampering in fake videos.
Yi-Xiang Luo, Jiann-Liang Chen
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Dual-Stream Generalized Face Forgery Detection Method Based on Intra-Inter Frame Self-Blending [PDF]
Jisuanji gongchengAlthough existing methods for detecting face forgery perform well within familiar source domains, they often suffer from overfitting, leading to a lack of generalizability in face forgery detection.
DONG Fengkai, ZOU Xiaoqiang, WANG Jiahui, MA Liming, YANG Wenyuan, LIU Xiyao
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Forgery face detection method based on multi-domain temporal features mining
网络与信息安全学报, 2023 Financial technology has greatly facilitated people’s daily life with the continuous development of computer technology in the financial services industry.However, digital finance is accompanied by security problems that can be extremely harmful.Face ...
Chuntao ZHU +4 more
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Global–Local Facial Fusion Based GAN Generated Fake Face Detection
Sensors, 2023 Media content forgery is widely spread over the Internet and has raised severe societal concerns. With the development of deep learning, new technologies such as generative adversarial networks (GANs) and media forgery technology have already been ...
Ziyu Xue +3 more
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Deep supervised anomaly detection for generalized face forgery detection
Pattern RecognitionLin Cao, Kangning Du, Fan Zhang
exaly +2 more sources
IET Computer Vision, 2023 With the rapid development of manipulation technologies, the generation of Deep Fake videos is more accessible than ever. As a result, face forgery detection becomes a challenging task, attracting a significant amount of attention from researchers ...
Bin Wu +3 more
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Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors
Computers, 2021 Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates.
Clemens Seibold +2 more
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Multi-scale Wavelet Transformer for Face Forgery Detection
, 2023 Currently, many face forgery detection methods aggregate spatial and frequency features to enhance the generalization ability and gain promising performance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale
Jie Liu +5 more
openaire +2 more sources