Big Data Research ›› 2023, Vol. 9 ›› Issue (5): 150-173.doi: 10.11959/j.issn.2096-0271.2023066

• STUDY • Previous Articles     Next Articles

A survey on digital content generation, detection, and forensics techniques

Juan CAO1,2, Yongchun ZHU1,2, Peng QI1,2, Ziyao HUANG1,2, Tianyun YANG1,2, Zhengjia WANG1,2, Yuyan BU1,2   

  1. 1 Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2023-09-15 Published:2023-09-01
  • Supported by:
    The National Natural Science Foundation of China(62203425);The Project of Chinese Academy of Sciences(E141020);The China Postdoctoral Science Foundation(2022TQ0344);The International Postdoctoral Exchange Fellowship Program by Office of China Postdoc Council(YJ20220198)

Abstract:

In recent years, the technology of digital content generation has been greatly developed, and the detection and forensic technology of digital content are facing new challenges.This paper firstly introduced digital content generation technology from three aspects: large natural language model, visual generation technology, and multimodal generation technology.Secondly, it introduced digital content detection technology from three aspects: generated text detection, generated image detection, and generated audio and video detection.Thirdly, it introduced digital content forensics technology from two aspects: utilizing fact ual information and forging traces.Then, this paper introduced the application scenarios of these techniques.Finally, it prospected the future work in this research field, and pointed out several directions that need to be focused on.

Key words: digital content, generation technology, detection, application, forensics technology

CLC Number: 

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