A survey of deep learning-based source image forensics

P Yang, D Baracchi, R Ni, Y Zhao, F Argenti, A Piva - Journal of Imaging, 2020 - mdpi.com
Image source forensics is widely considered as one of the most effective ways to verify in a
blind way digital image authenticity and integrity. In the last few years, many researchers …

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 …

Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

CNN detection of GAN-generated face images based on cross-band co-occurrences analysis

M Barni, K Kallas, E Nowroozi… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Last-generation GAN models allow to generate synthetic images which are visually
indistinguishable from natural ones, raising the need to develop tools to distinguish fake and …

Detecting real-time deep-fake videos using active illumination

CR Gerstner, H Farid - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
While many have grown suspicious of viral images and videos found online, there is a
general sense that we can and should trust that the person on the other end of our video …

Adversarial examples for replay attacks against CNN-based face recognition with anti-spoofing capability

B Zhang, B Tondi, M Barni - Computer vision and image understanding, 2020 - Elsevier
In the race of arms between attackers, trying to build more and more realistic face replay
attacks, and defenders, deploying spoof detection modules with ever-increasing capabilities …

Deep learning-based forgery attack on document images

L Zhao, C Chen, J Huang - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
With the ongoing popularization of online services, the digital document images have been
used in various applications. Meanwhile, there have emerged some deep learning-based …

A review of digital video tampering: From simple editing to full synthesis

P Johnston, E Elyan - Digital Investigation, 2019 - Elsevier
Video tampering methods have witnessed considerable progress in recent years. This is
partly due to the rapid development of advanced deep learning methods, and also due to …

Vipprint: Validating synthetic image detection and source linking methods on a large scale dataset of printed documents

A Ferreira, E Nowroozi, M Barni - Journal of Imaging, 2021 - mdpi.com
The possibility of carrying out a meaningful forensic analysis on printed and scanned
images plays a major role in many applications. First of all, printed documents are often …

Domain-agnostic document authentication against practical recapturing attacks

C Chen, S Zhang, F Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recapturing attack can be employed as a simple but effective anti-forensic tool for digital
document images. Inspired by the document inspection process that compares a questioned …