ExS-GAN: Synthesizing anti-forensics images via extra supervised GAN

F Ding, Z Shen, G Zhu, S Kwong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
So far, researchers have proposed many forensics tools to protect the authenticity and
integrity of digital information. However, with the explosive development of machine …

Fighting malicious media data: A survey on tampering detection and deepfake detection

J Wang, Z Li, C Zhang, J Chen, Z Wu, LS Davis… - arXiv preprint arXiv …, 2022 - arxiv.org
Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

CGNet: Detecting computer-generated images based on transfer learning with attention module

Y Yao, Z Zhang, X Ni, Z Shen, L Chen, D Xu - Signal Processing: Image …, 2022 - Elsevier
The rapid development of digital image processing technology and the popularization of
image editors have made computer-generated images more realistic so that it is more …

BDC-GAN: Bidirectional conversion between computer-generated and natural facial images for anti-forensics

F Peng, L Yin, M Long - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
Aiming at degrading the capability of the existing forensic methods in discriminating
computer generated and natural facial images, a bidirectional conversion between computer …

TrueFace: A dataset for the detection of synthetic face images from social networks

G Boato, C Pasquini, AL Stefani… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
With today's technologies, the possibility to generate highly realistic visual fakes is within
everyone's reach, leading to major threats in terms of misinformation and data …

[图书][B] The psychosocial reality of digital travel: Being in virtual places

I Tjostheim, JA Waterworth - 2022 - library.oapen.org
This open access book takes a fresh look at the nature of the digital travel experience, at a
time when more and more people are engaged in online social interaction, games, and …

Chroma key foreground forgery detection under various attacks in digital video based on frame edge identification

G Singh, K Singh - Multimedia Tools and Applications, 2022 - Springer
Chroma key foreground forgery is the most common forgery to manipulate the contents of a
digital video. This kind of video can be presented in courts to show fake evidence, in political …

In-group and Out-group Performance Bias in Facial Retouching Detection

A Bharati, E Connors, M Vatsa… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
Accuracy alone is not sufficient to establish the efficacy of an AI algorithm-issues of
demographic bias are an important area of concern. Demographic bias in face recognition …

Virtual sample generation for few-shot source camera identification

B Wang, S Wu, F Wei, Y Wang, J Hou, X Sui - Journal of Information …, 2022 - Elsevier
Abstract The Source Camera Identification (SCI) has achieved remarkable success.
However, existing approaches require sufficiently large training sets for high performance on …

Classifying between computer generated and natural images: An empirical study from RAW to JPEG format

T Qiao, X Luo, H Yao, R Shi - Journal of Visual Communication and Image …, 2022 - Elsevier
Computer generated (CG) images have been gradually overspread on the Internet, resulting
in difficult discrimination from natural images (NIs) captured by an authentic imaging device …