Media forensics and deepfakes: an overview
L Verdoliva - IEEE Journal of Selected Topics in Signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …
multimedia content can now provide a very advanced level of realism. The boundary …
A full-image full-resolution end-to-end-trainable CNN framework for image forgery detection
Due to limited computational and memory resources, current deep learning models accept
only rather small images in input, calling for preliminary image resizing. This is not a …
only rather small images in input, calling for preliminary image resizing. This is not a …
A hybrid deep learning-based fruit classification using attention model and convolution autoencoder
G Xue, S Liu, Y Ma - Complex & Intelligent Systems, 2020 - Springer
Image recognition supports several applications, for instance, facial recognition, image
classification, and achieving accurate fruit and vegetable classification is very important in …
classification, and achieving accurate fruit and vegetable classification is very important in …
Exploiting prediction error inconsistencies through LSTM-based classifiers to detect deepfake videos
I Amerini, R Caldelli - Proceedings of the 2020 ACM workshop on …, 2020 - dl.acm.org
The ability of artificial intelligence techniques to build synthesized brand new videos or to
alter the facial expression of already existing ones has been efficiently demonstrated in the …
alter the facial expression of already existing ones has been efficiently demonstrated in the …
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images
M Abdel-Basset, G Manogaran, AE Fakhry… - Multimedia Tools and …, 2020 - Springer
Understanding is considered a key purpose of image forensic science in order to find out if a
digital image is authenticated or not. It can be a sensitive task in case images are used as …
digital image is authenticated or not. It can be a sensitive task in case images are used as …
A bibliometric analysis of digital image forensics
We present a bibliometric analysis of the evolving field of digital image forensics (DIF) from
2014 to early 2020. The study analyses and discusses the results obtained from the highly …
2014 to early 2020. The study analyses and discusses the results obtained from the highly …
Distinguishing computer-generated images from natural images using channel and pixel correlation
With the recent tremendous advances of computer graphics rendering and image editing
technologies, computergenerated fake images, which in general do not reflect what …
technologies, computergenerated fake images, which in general do not reflect what …
METEOR: Measurable energy map toward the estimation of resampling rate via a convolutional neural network
In recent years, with the improvements in machine learning, image forensics has made
considerable progress in detecting editing manipulations. This progress also raises more …
considerable progress in detecting editing manipulations. This progress also raises more …
Detection of computer graphics using attention-based dual-branch convolutional neural network from fused color components
With the development of 3D rendering techniques, people can create photorealistic
computer graphics (CG) easily with the advanced software, which is of great benefit to the …
computer graphics (CG) easily with the advanced software, which is of great benefit to the …
Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images
Advanced computer graphics rendering software tools can now produce computer-
generated (CG) images with increasingly high level of photorealism. This makes it more and …
generated (CG) images with increasingly high level of photorealism. This makes it more and …