Deepfake detection using deep learning methods: A systematic and comprehensive review
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
Deepfakes: current and future trends
ÁF Gambín, A Yazidi, A Vasilakos, H Haugerud… - Artificial Intelligence …, 2024 - Springer
Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …
online disinformation spreading through Deepfakes. This entails severe threats including …
A novel blockchain-based deepfake detection method using federated and deep learning models
In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
Data augmentation-based novel deep learning method for deepfaked images detection
Recent advances in artificial intelligence have led to deepfake images, enabling users to
replace a real face with a genuine one. deepfake images have recently been used to malign …
replace a real face with a genuine one. deepfake images have recently been used to malign …
DFFMD: a deepfake face mask dataset for infectious disease era with deepfake detection algorithms
Deepfake is a technology that creates fake images and videos with replaced or synthesized
faces. Deepfakes are becoming a concerning social phenomenon, as they can be …
faces. Deepfakes are becoming a concerning social phenomenon, as they can be …
Deepfakes: evolution and trends
This study conducts research on deepfakes technology evolution and trends based on a
bibliometric analysis of the articles published on this topic along with six research questions …
bibliometric analysis of the articles published on this topic along with six research questions …
Deep-fake video detection approaches using convolutional–recurrent neural networks
S Suratkar, S Bhiungade, J Pitale, K Soni… - Journal of Control …, 2023 - Taylor & Francis
Deep-Fake is an emerging technology used in synthetic media which manipulates
individuals in existing images and videos with someone else's likeness. This paper presents …
individuals in existing images and videos with someone else's likeness. This paper presents …
[HTML][HTML] Interpol review of forensic video analysis, 2019–2022
Z Geradts, Q Riphagen - Forensic Science International: Synergy, 2023 - Elsevier
The review focuses mostly on English literature, and which was available from public data
sources from 2018 to 2022. Also we had to make a selection, since searches on video …
sources from 2018 to 2022. Also we had to make a selection, since searches on video …
[PDF][PDF] Detecting deepfake images using deep learning techniques and explainable AI methods
WH Abir, FR Khanam, KN Alam… - … Automation & Soft …, 2023 - cdn.techscience.cn
Nowadays, deepfake is wreaking havoc on society. Deepfake content is created with the
help of artificial intelligence and machine learning to replace one person's likeness with …
help of artificial intelligence and machine learning to replace one person's likeness with …
[PDF][PDF] Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections.
D Gura, B Dong, D Mehiar… - Computers, Materials & …, 2024 - researchgate.net
The motivation for this study is that the quality of deep fakes is constantly improving, which
leads to the need to develop new methods for their detection. The proposed Customized …
leads to the need to develop new methods for their detection. The proposed Customized …