期刊论文

Li, F.

英文

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

1976-7277

2022

16

5

1671-1686

10.3837/tiis.2022.05.014

This work was supported in part by National Natural Science Foundation of China (62172059, 62072055), Hunan Provincial Natural Science Foundations of China (2020JJ4626), Scientific Research Fund of Hunan Provincial Education Department of China under Grant (19B004), Postgraduate Scientific Research Innovation Project of Changsha University of Science and Technology (CX2021SS76).

本校为第一机构

Face manipulation tools represented by Deepfake have threatened the security of people's biological identity information. Particularly, manipulation tools with deep learning technology have brought great challenges to Deepfake detection. There are many solutions for Deepfake detection based on traditional machine learning and advanced deep learning. However, those solutions of detectors almost have problems of poor performance when evaluated on different quality datasets. In this paper, for the sake of making high-quality Deepfake datasets, we ...