Work

SMNDNet for Multiple Types of Deepfake Image Detection

Year: 2025

Type: article

Abstract: The majority of current deepfake detection methods are constrained to identifying one or two specific types of counterfeit images, which limits their ability to keep pace with the rapid advancements in deepfake technology. Th... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.063141

Authors: Qin Wang, Xiaofeng Wang, Jianghua Li, Ruidong Han, Zinian Liu, Mingtao Guo

Institutions: Sichuan University, Xi'an University of Technology

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Award: G8252510314