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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Shape and Texture Combined Face Recognition for Detection of Forged ID Documents [PDF]
, 2016 This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition
Hartnett, Margaret +3 more
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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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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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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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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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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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Toward an Integrated System for Surveillance and Behaviour Analysis of Groups and People [PDF]
, 2013 Security and INTelligence SYStem is an Italian research project which aims to create an integrated system for the analysis of multi-modal data sources (text, images, video, audio), to assist operators in homeland security applications.
ARDIZZONE, Edoardo +4 more
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Face Forgery Algorithm Recognition Model Based on Multi-classification Dataset [PDF]
Jisuanji kexueAt present,the face detection methods mainly focus on the detection of the authenticity of faces,and there are few studies on the recognition of forgery algorithms,accompanied by poor image disturbance robustness and large resource occupation.What's more,
DING Bowen, LU Tianliang, PENG Shufan, GENG Haoqi, YANG Gang
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Identification of British one pound counterfeit coins using laser-induced breakdown spectroscopy [PDF]
, 2016 Acknowledgments The authors are grateful to Robert Matthews, C.Chem., MRSC for his generous loan of seven of the counterfeit coins.Peer reviewedPublisher ...
Appleby, Andrew, Thevar, Thangavel
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