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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 comprehensive review of deep-learning-based methods for image forensics
I Castillo Camacho, K Wang - Journal of imaging, 2021 - mdpi.com
Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …
Deepfake detection by analyzing convolutional traces
The Deepfake phenomenon has become very popular nowadays thanks to the possibility to
create incredibly realistic images using deep learning tools, based mainly on ad-hoc …
create incredibly realistic images using deep learning tools, based mainly on ad-hoc …
Video face manipulation detection through ensemble of cnns
In the last few years, several techniques for facial manipulation in videos have been
successfully developed and made available to the masses (ie, FaceSwap, deepfake, etc.) …
successfully developed and made available to the masses (ie, FaceSwap, deepfake, etc.) …
Constrained convolutional neural networks: A new approach towards general purpose image manipulation detection
Identifying the authenticity and processing history of an image is an important task in
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
multimedia forensics. By analyzing traces left by different image manipulations, researchers …
Noiseprint: A CNN-based camera model fingerprint
Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera
processes left on the acquired images. Such traces represent a sort of camera fingerprint. If …
processes left on the acquired images. Such traces represent a sort of camera fingerprint. If …
A deep learning approach to universal image manipulation detection using a new convolutional layer
When creating a forgery, a forger can modify an image using many different image editing
operations. Since a forensic examiner must test for each of these, significant interest has …
operations. Since a forensic examiner must test for each of these, significant interest has …
MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation
We provide a benchmark for digital Media Forensics Challenge (MFC) evaluations. Our
comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP …
comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP …
Robust detection of image operator chain with two-stream convolutional neural network
Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …
has undergone a specific manipulation operation. When multiple consecutive operations are …
First steps toward camera model identification with convolutional neural networks
Detecting the camera model used to shoot a picture enables to solve a wide series of
forensic problems, from copyright infringement to ownership attribution. For this reason, the …
forensic problems, from copyright infringement to ownership attribution. For this reason, the …