信息通信技术与政策2025，Vol.51Issue(10)：73-86,14.DOI:10.12267/j.issn.2096-5931.2025.10.011
多模态深度伪造检测技术综述
A review of multimodal deepfake detection technology
王灵 1闫坤 2聂鹏2
作者信息
- 1. 电信科学技术研究院,北京 100191
- 2. 中国信息通信研究院知识产权与创新发展中心,北京 100191
- 折叠
摘要
Abstract
The rapid development of deepfake technology has exacerbated the crisis of social trust and security threats,and its abuse scenarios have expanded from fake news and identity fraud to a wider field.In order to meet the challenges,the deepfake detection technology has gradually developed from single-modal to multimodal fusion detection,and the detection accuracy and robustness are significantly improved by integrating multi-source information such as audio-visual information.Firstly,the characteristics and application scenarios of multimodal datasets are analyzed.Secondly,the technical methodology system of detection-positioning-interpretation is classified and described.Then,the actual performance of the existing testing platform is evaluated.Finally,the future research directions are prospected.The purpose of this study is to construct a technical map of multimodal deepfake detection,and to provide theoretical support and practical reference for the development of the field.关键词
深度伪造检测/多模态深度伪造检测/数据集Key words
deepfake detection/multimodal deepfake detection/datasets分类
电子信息工程引用本文复制引用
王灵,闫坤,聂鹏..多模态深度伪造检测技术综述[J].信息通信技术与政策,2025,51(10):73-86,14.
