Results 71 to 80 of about 8,150 (174)
Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media [PDF]
The rapid advancement of deepfake technology poses an escalating threat of misinformation and fraud enabled by manipulated media. Despite the risks, a comprehensive understanding of deepfake detection techniques has not materialized.
Shavez Mushtaq Qureshi +4 more
doaj +2 more sources
Statistics-aware Audio-visual Deepfake Detector [PDF]
peer reviewedIn this paper, we propose an enhanced audio-visual deep detection method. Recent methods in audio-visual deepfake detection mostly assess the synchronization between audio and visual features.
ASTRID, Marcella +2 more
core +1 more source
GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Deepfakes have raised significant concerns due to their potential to spread false information and compromise the integrity of digital media. Current deepfake detection models often struggle to generalize across a diverse range of deepfake generation ...
Deressa Wodajo Deressa +5 more
doaj +1 more source
While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues.
Luo, Jun +5 more
core +1 more source
Deepfake video detection methods, approaches, and challenges
Deepfake technology creates highly realistic manipulated videos using deep learning models, which makes distinguishing between authentic and fake content extremely difficult.
Mubarak Alrashoud
doaj +1 more source
1. П.Пармов Что такое deepfake-видео (Face Swap) и как его сделать [Електронний ресурс] – Режим доступу до ресурсу: https://rb.ru/opinion/deepfake-how/. 2.
Денисенко, Данило Миколайович
core
A commissioned artwork for Arcual presented in the Collector's Lounge at Art Basel 2023.
Cummings, P.
core +1 more source
Deepfake: definitions, performance metrics and standards, datasets, and a meta-review
Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of the ...
Enes Altuncu +2 more
doaj +1 more source
Combating Cosmetic Dermatology Misinformation Using Artificial Intelligence
Journal of Cosmetic Dermatology, Volume 25, Issue 9, September 2026.
Doris Day +2 more
wiley +1 more source
The rapid advancement of digital content generation technologies has led to the proliferation of deepfake media, posing significant security and privacy risks on social networks.
Deepa Javiya +3 more
doaj +1 more source

