Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges
Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …
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 …
intelligence (AI) techniques (especially deep learning), an emerging societal issue …
Videofact: detecting video forgeries using attention, scene context, and forensic traces
Fake videos represent an important misinformation threat. While existing forensic networks
have demonstrated strong performance on image forgeries, recent results reported on the …
have demonstrated strong performance on image forgeries, recent results reported on the …
Ummaformer: A universal multimodal-adaptive transformer framework for temporal forgery localization
The emergence of artificial intelligence-generated content (AIGC) has raised concerns about
the authenticity of multimedia content in various fields. However, existing research for …
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 …
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
In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …
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 …
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 …
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
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 …
Manipulations datasets used in this paper, specifically, those used for training and validation …