Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges

H Liz-Lopez, M Keita, A Taleb-Ahmed, A Hadid… - Information …, 2024 - Elsevier
Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

Deepfake video detection: challenges and opportunities

A Kaur, A Noori Hoshyar, V Saikrishna, S Firmin… - Artificial Intelligence …, 2024 - Springer
Deepfake videos are a growing social issue. These videos are manipulated by artificial
intelligence (AI) techniques (especially deep learning), an emerging societal issue …

Videofact: detecting video forgeries using attention, scene context, and forensic traces

TD Nguyen, S Fang, MC Stamm - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Fake videos represent an important misinformation threat. While existing forensic networks
have demonstrated strong performance on image forgeries, recent results reported on the …

Ummaformer: A universal multimodal-adaptive transformer framework for temporal forgery localization

R Zhang, H Wang, M Du, H Liu, Y Zhou… - Proceedings of the 31st …, 2023 - dl.acm.org
The emergence of artificial intelligence-generated content (AIGC) has raised concerns about
the authenticity of multimedia content in various fields. However, existing research for …

[HTML][HTML] Video and Audio Deepfake Datasets and Open Issues in Deepfake Technology: Being Ahead of the Curve

Z Akhtar, TL Pendyala, VS Athmakuri - Forensic Sciences, 2024 - mdpi.com
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

X Yu, Y Wang, Y Chen, Z Tao, D Xi, S Song… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

Spatio-temporal co-attention fusion network for video splicing localization

M Lin, G Cao, Z Lou, C Zhang - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
Digital video splicing has become easy and ubiquitous. Malicious users copy some regions
of a video and paste them into another video to create realistic forgeries. It is important to …

Human-centric artificial intelligence enabled digital images and videos forensic triage

S Li, Y Liu - … on Human-Centered Cognitive Systems (HCCS), 2023 - ieeexplore.ieee.org
Digital forensics and incident response (DFIR) involve huge volume of data collected from
digital systems that requires investigators to quickly sift through and prioritise relevant …

[PDF][PDF] VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces Supplementary Material

TD Nguyen, S Fang, MC Stamm, AD Creation - sigma - openaccess.thecvf.com
In this section, we presents more details regarding the creation of the Standard Video
Manipulations datasets used in this paper, specifically, those used for training and validation …