Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic map** study
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
A comprehensive survey of image and video forgery techniques: variants, challenges, and future directions
With the advent of Internet, images and videos are the most vulnerable media that can be
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …
Multi-task SE-network for image splicing localization
Image splicing can be easily used for illegal activities such as falsifying propaganda for
political purposes and reporting false news, which may result in negative impacts on society …
political purposes and reporting false news, which may result in negative impacts on society …
Intracranial hemorrhages segmentation and features selection applying cuckoo search algorithm with gated recurrent unit
Generally, traumatic and aneurysmal brain injuries cause intracranial hemorrhages, which is
a severe disease that results in death, if it is not treated and diagnosed properly at the early …
a severe disease that results in death, if it is not treated and diagnosed properly at the early …
A deep learning based method for image splicing detection
Image manipulation has become an easy task due to the availability of user-friendly
multimedia tools. The images can be manipulated in several ways. Image splicing is one of …
multimedia tools. The images can be manipulated in several ways. Image splicing is one of …
Passive image forensics using universal techniques: a review
Digital tamper detection is a substantial research area of image analysis that identifies the
manipulation in the image. This domain has matured with time and incredible accuracy in …
manipulation in the image. This domain has matured with time and incredible accuracy in …
Low dimensional DCT and DWT feature based model for detection of image splicing and copy-move forgery
Digital images are being used as a prominent carrier of visual information in this age of
digitization. Images become more and more omnipresent in everyday life. The images can …
digitization. Images become more and more omnipresent in everyday life. The images can …
A new method to detect splicing image forgery using convolutional neural network
Recently, digital images have been considered the primary key for many applications, such
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
as forensics, medical diagnosis, and social networks. Image forgery detection is considered …
Visual user-generated content verification in journalism: An overview
Over the past few years, social media has become an indispensable part of the news
generation and dissemination cycle on the global stage. These digital channels along with …
generation and dissemination cycle on the global stage. These digital channels along with …
A passive approach for the detection of splicing forgery in digital images
With the technology progress, a plethora of freely accessible software has questioned the
authenticity of digital images. This field is continuously creating challenges for researchers …
authenticity of digital images. This field is continuously creating challenges for researchers …