A survey of deep learning-based source image forensics
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 …
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 …
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 …
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 …
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 …
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
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 …
attacks, and defenders, deploying spoof detection modules with ever-increasing capabilities …
Deep learning-based forgery attack on document images
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 …
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 …
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
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 …
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 …
document images. Inspired by the document inspection process that compares a questioned …