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 …

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 …

Deepfake detection by analyzing convolutional traces

L Guarnera, O Giudice… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
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 …

Video face manipulation detection through ensemble of cnns

N Bonettini, ED Cannas, S Mandelli… - 2020 25th …, 2021 - ieeexplore.ieee.org
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.) …

Constrained convolutional neural networks: A new approach towards general purpose image manipulation detection

B Bayar, MC Stamm - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
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 …

Noiseprint: A CNN-based camera model fingerprint

D Cozzolino, L Verdoliva - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
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 …

A deep learning approach to universal image manipulation detection using a new convolutional layer

B Bayar, MC Stamm - Proceedings of the 4th ACM workshop on …, 2016 - dl.acm.org
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 …

MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation

H Guan, M Kozak, E Robertson, Y Lee… - 2019 IEEE Winter …, 2019 - ieeexplore.ieee.org
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 …

Robust detection of image operator chain with two-stream convolutional neural network

X Liao, K Li, X Zhu, KJR Liu - IEEE Journal of Selected Topics …, 2020 - ieeexplore.ieee.org
Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …

First steps toward camera model identification with convolutional neural networks

L Bondi, L Baroffio, D Güera, P Bestagini… - IEEE Signal …, 2016 - ieeexplore.ieee.org
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 …