A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

W El-Shafai, MA Fouda, ESM El-Rabaie… - Multimedia Tools and …, 2024 - Springer
Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …

Cross-identity video motion retargeting with joint transformation and synthesis

H Ni, Y Liu, SX Huang, Y Xue - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
In this paper, we propose a novel dual-branch Transformation-Synthesis network (TS-Net),
for video motion retargeting. Given one subject video and one driving video, TS-Net can …

Understanding strategies employed by seniors in identifying deepfakes

Z Tang, DHL Goh, CS Lee, Y Yang - Aslib Journal of Information …, 2024 - emerald.com
Purpose This paper aims to confront the rising threat of deepfake videos, focusing on the
limited research on deepfake detection strategies among seniors. The study thus …

Implementation of Efficient Deep Fake Detection Technique on Videos Dataset Using Deep Learning Method

MM Rafiqee, ZH Qaiser, M Fuzail, N Aslam… - Journal of Computing & …, 2023 - jcbi.org
Deep fake technology has recently made tremendous advances that have made it possible
to produce incredibly realistic fake audio, video, and image media. These materials present …

MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok

L Shang, Y Zhang, Y Deng… - IEEE Transactions on Big …, 2025 - ieeexplore.ieee.org
With the prevalence of social media and short video sharing platforms (eg, TikTok, YouTube
Shorts), the proliferation of healthcare misinformation has become a widespread and …

Deepfakes-generating synthetic images, and detecting artificially generated fake visuals using deep learning

A Mishra, A Bharwaj, AK Yadav… - … Conference on Cloud …, 2024 - ieeexplore.ieee.org
The abstract delves into the groundbreaking realm of DeepFakes, a revolutionary synthesis
of deep learning and synthetic media. Central to DeepFake generation is the utilization of …

Deepfakes and media integrity: Navigating the new reality of synthetic content

MA Farouk, BM Fahmi - Journal of Media and Interdisciplinary …, 2024 - journals.ekb.eg
This scholarly article delves into the consequences that deepfake technologies have on
media integrity, highlighting how these advanced technological processes enable the …

FSA-Net: A Cost-efficient Face Swap** Attention Network with Occlusion-Aware Normalization.

Z Bin, H Zhao, X Liang, W Chen - Intelligent Automation & …, 2023 - search.ebscohost.com
The main challenges in face swap** are the preservation and adaptive superimposition of
attributes of two images. In this study, the Face Swap** Attention Network (FSA-Net) is …

Deepfake video detection based on convolutional neural networks

SR Adnan, HA Abdulbaqi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The increasing use of mobile camera technology and the growth of social media using and
sharing have made the generation and publishing of digital videos more suitable than ever …

Enhancing malicious phishing video detection and classification using Sparrow Search algorithm with deep learning model

C Rajeswary, M Thirumaran - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The growing significance of short videos on video-sharing sites is accompanied by an
escalation in misleading content, causing adverse social concerns. Therefore, it is important …