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 …

PSCC-Net: Progressive spatio-channel correlation network for image manipulation detection and localization

X Liu, Y Liu, J Chen, X Liu - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
To defend against manipulation of image content, such as splicing, copy-move, and
removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to …

DeepFake detection for human face images and videos: A survey

A Malik, M Kuribayashi, SM Abdullahi, AN Khan - Ieee Access, 2022 - ieeexplore.ieee.org
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features

Y Wu, W AbdAlmageed… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
To fight against real-life image forgery, which commonly involves different types and
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …

Hybrid lstm and encoder–decoder architecture for detection of image forgeries

JH Bappy, C Simons, L Nataraj… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …

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 …

SPAN: Spatial pyramid attention network for image manipulation localization

X Hu, Z Zhang, Z Jiang, S Chaudhuri, Z Yang… - Computer Vision–ECCV …, 2020 - Springer
We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and
localization of multiple types of image manipulations. The proposed architecture efficiently …

Faceforensics: A large-scale video dataset for forgery detection in human faces

A Rössler, D Cozzolino, L Verdoliva, C Riess… - arxiv preprint arxiv …, 2018 - arxiv.org
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …