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Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]

open access: yesJisuanji kexue yu tansuo
The detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
doaj   +1 more source

Multi-Feature Fusion Based Deepfake Face Forgery Video Detection

open access: yesSystems, 2022
With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It is common to make fake news, network pornography, extortion and other related illegal events using deep forgery.
Zhimao Lai   +4 more
doaj   +1 more source

A Survey On Video Forgery Detection

open access: yesCoRR, 2015
The Digital Forgeries though not visibly identifiable to human perception it may alter or meddle with underlying natural statistics of digital content. Tampering involves fiddling with video content in order to cause damage or make unauthorized alteration/modification.
Sowmya K. N., H. R. Chennamma
openaire   +2 more sources

Seamless Copy–Move Replication in Digital Images

open access: yesJournal of Imaging, 2022
The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries.
Tanzeela Qazi   +3 more
doaj   +1 more source

Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection

open access: yesIEEE Access, 2023
Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such forgeries acts as an important part of digital image forensics.
Mashael Maashi   +7 more
doaj   +1 more source

An Enhanced Dynamic Signature Verification using the X and Y Histogram Features

open access: yesInfotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap, 2021
Dynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent ...
Aris Tjahyanto   +2 more
doaj   +1 more source

Spectrum sharing security and attacks in CRNs: a review [PDF]

open access: yes, 2014
Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics.
Alhakami, Wajdi   +2 more
core   +3 more sources

Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network

open access: yesInformation, 2019
The problem of forged images has become a global phenomenon that is spreading mainly through social media. New technologies have provided both the means and the support for this phenomenon, but they are also enabling a targeted response to overcome it ...
Younis Abdalla   +2 more
doaj   +1 more source

Scene Segmentation for Interframe Forgery Identification

open access: yesJournal of ICT Research and Applications, 2023
A common type of video forgery is inter-frame forgery, which occurs in the temporal domain, such as frame duplication, frame insertion, and frame deletion. Some existing methods are not effective to detect forgeries in static scenes.
Andriani   +2 more
doaj   +1 more source

A new video forgery detection approach based on forgery line

open access: yesTURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2017
In recent years, we have continually encountered multimedia files in daily life, as evidence in courts, medical records in hospitals, etc. Many multimedia-editing software tools have been developed in parallel to the widespread usage of multimedia files.
Isilay Bozkurt   +2 more
openaire   +2 more sources

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