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 …

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 …

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 …

Image region forgery detection: A deep learning approach

Y Zhang, J Goh, LL Win, V Thing - Proceedings of the Singapore …, 2016 - ebooks.iospress.nl
In digital forensics, the detection of the presence of tampered images is of significant
importance. The problem with the existing literature is that majority of them identify certain …

[HTML][HTML] Robust forgery detection for compressed images using CNN supervision

B Diallo, T Urruty, P Bourdon… - Forensic Science …, 2020 - Elsevier
Images available on online sharing platforms have a high probability of being modified, with
additional global transformations such as compression, resizing or filtering covering the …

[PDF][PDF] Detection and localization of image forgeries using improved mask regional convolutional neural network

X Wang, H Wang, S Niu, J Zhang - Mathematical Biosciences and …, 2019 - aimspress.com
The research on forgery detection and localization is significant in digital forensics and has
attracted increasing attention recently. Traditional methods mostly use handcrafted or …

[PDF][PDF] Design principles of convolutional neural networks for multimedia forensics

B Bayar, MC Stamm - Electronic Imaging, 2017 - library.imaging.org
Convolutional neural networks (CNNs) have received significant attention due to their ability
to adaptively learn classification features directly from data. While CNNs have helped cause …

Distinguishing between natural and computer-generated images using convolutional neural networks

W Quan, K Wang, DM Yan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Distinguishing between natural images (NIs) and computer-generated (CG) images by
naked human eyes is difficult. In this paper, we propose an effective method based on a …

Identification of various image operations using residual-based features

H Li, W Luo, X Qiu, J Huang - … on Circuits and Systems for Video …, 2016 - ieeexplore.ieee.org
Image forensics has attracted wide attention during the past decade. However, most existing
works aim at detecting a certain operation, which means that their proposed features usually …

IMD2020: A large-scale annotated dataset tailored for detecting manipulated images

A Novozamsky, B Mahdian… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Witnessing impressive results of deep nets in a number of computer vision problems, the
image forensic community has begun to utilize them in the challenging domain of detecting …