数字内容生成、检测与取证技术综述  

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

作　　者：曹娟[1,2] 朱勇椿 亓鹏 黄子尧 杨天韵 王政嘉 卜语嫣 CAO Juan;ZHU Yongchun;QI Peng;HUANG Ziyao;YANG Tianyun;WANG Zhengjia;BU Yuyan(Media Synthesis and Forensics Lab,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院计算技术研究所数字内容合成与伪造检测实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《大数据》2023年第5期150-173,共24页Big Data Research

基　　金：国家自然科学基金资助项目(No.62203425);中国科学院项目(No.E141020);中国博士后科学基金特别资助(No.2022TQ0344);博士后国际交流计划引进项目(No.YJ20220198)。

摘　　要：近年来,数字生成内容技术得到了极大的发展,数字内容的检测和取证技术面临新的挑战。首先从自然语言大模型、视觉生成技术、多模态生成技术3个方面介绍数字内容生成技术,从生成文本检测、生成图片检测、生成音视频检测3个方面介绍数字内容检测技术,从利用事实信息和伪造痕迹两方面介绍数字内容取证技术;接着介绍这些技术的应用场景;最后对该研究领域的未来工作进行展望,指出几个需要重点关注的方向。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.

关 键 词：数字内容 生成技术 检测应用 取证技术 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]