深度合成技术应用与风险应对

李婧文; 李雅文

doi:10.11959/j.issn.2096-109x.2023032

您当前的位置：

首页 >

文章列表页 >

深度合成技术应用与风险应对

学术论文 | 更新时间：2024-06-03

- 深度合成技术应用与风险应对
- Application and risk response of deep synthesis technology
- 网络与信息安全学报 2023年9卷第2期页码：184-190
- 作者机构：
  
  1. 北京交通大学电子信息工程学院，北京 100044
  2. 中国信息通信研究院政策与经济研究所，北京 100191
- 作者简介：
  
  [ "李婧文（2002- ），女，北京人，主要研究方向计算机技术应用、电信技术与应用" ]
  [ "李雅文（1990- ），女，山东潍坊人，中国信息通信研究院高级工程师，主要研究方向为数字治理、网络法治、数字经贸规则" ]
- 基金信息：
  
  工业和信息化部电信市场开放与监管问题研究项目;Research on Telecommunications Market Opening and Regulation of the Ministry of Industry and Information Technology(txs2022003)
- DOI：10.11959/j.issn.2096-109x.2023032
  中图分类号： TP391
- 网络首发：2023-04，
  
  纸质出版：2023-04-25
- 稿件说明：
移动端阅览
李婧文, 李雅文. 深度合成技术应用与风险应对[J]. 网络与信息安全学报, 2023,9(2):184-190.

Jingwen LI, Yawen LI. Application and risk response of deep synthesis technology[J]. Chinese Journal of Network and Information Security, 2023, 9(2): 184-190.
李婧文, 李雅文. 深度合成技术应用与风险应对[J]. 网络与信息安全学报, 2023,9(2):184-190. DOI： 10.11959/j.issn.2096-109x.2023032.

Jingwen LI, Yawen LI. Application and risk response of deep synthesis technology[J]. Chinese Journal of Network and Information Security, 2023, 9(2): 184-190. DOI： 10.11959/j.issn.2096-109x.2023032.

摘要

深度合成技术被广泛应用于智能服务、音视频产品制作、媒体传播和信息服务，已成为人工智能领域的热点应用之一。剖析了深度合成技术原理和实现方式，分析了深度合成技术在机器人写稿、语音合成、智能客服、声音复制、人脸合成、姿态操纵、虚拟人物和虚拟场景等典型应用场景中的应用情况，并总结了深度合成技术应用带来的生成和传播虚假信息、侵害他人合法权益、被其他违法犯罪活动利用、影响国家安全等风险。研究了欧盟、美国等采取措施开展深度合成技术应用治理的情况和我国加强深度合成应用管理的情况，并从深度合成技术应用的智能性、拟真性、泛在性特点出发，分析了防控深度合成技术应用风险的举措，提出了构建全方位监管规则体系，强化技术监督，提高全社会风险防范意识等具体应对措施。

Abstract

Deep synthesis technology is a widely used application in the field of artificial intelligence

particularly in intelligent services

audio and video production

media communication and information services.A basic research was conducted on the principle and implementation of deep synthesis technology.And the application of deep synthesis technology were analyzed

such as robot writing

voice synthesis

intelligent customer service

voice replication

face synthesis

posture manipulation

virtual characters and virtual scenes.Based on the analysis of the characteristics and development trend of the application of deep synthesis

the risks brought by the application of deep synthesis technology were summarized

such as the generation and dissemination of false information

infringement of the legitimate rights and interests of others

utilization by other illegal and criminal activities

and impact on national security.The measures taken by the EU

United States and China to govern the application of deep synthesis technology were studied and the countermeasures were recommended such as building a comprehensive regulatory rule system

strengthening technical supervision

and improving risk prevention awareness across society.Furthermore

the need for intelligence

authenticity

and universality in the application of deep synthesis technology was highlighted.Based on the analysis of the characteristics and development trends of deep synthesis technology

a comprehensive insight into the potential risks and countermeasures associated with its application governance were provided.

关键词

Keywords

references

ELIZABETH C . Reject the evidence of your eyes and ears:deepfakes and the law of virtual replicants [J ] . Seton Hall Law Review , 2019 ( 50 ): 177 - 186 .

QAZIEU H , ZIA T , ALMORJAN A . Deep learning-based digital image forgery detection system [J ] . Applied Sciences , 2022 , 12 ( 6 ): 2851 .

JUDGE H B , DIXON J R . Deepfakes:more frightening than photoshop on steroids [J ] . Judges＇ Journal , 2019 , 58 ( 3 ): 35 .

李明鲁 . “深度伪造”的刑法治理路径 [J ] . 科技与法律 , 2021 ( 6 ): 40 - 47 .

LI M L . The criminal law governance path of "deep forgery" [J ] . Science Technology and Law , 2021 ( 6 ): 40 - 47 .

GOODFELLOW I J , POUGET-ABADIE J , MIRZA M , et al . Generative adversarial nets [C ] // Proceedings of the Annual Conference on Neural Information Processing Systems 2014 . 2014 : 2672 - 2680 .

GUEAD , DELP E J , . Deepfake video detection using recurrent neural networks [C ] // Proceedings of 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance(AVSS) . 2018 .

JESSICA I . Defamatory political deepfakes and the first amendment [J ] . Case Western Reserve Law Review , 2019 ( 70 ): 427 - 438 .

GOODFELLOW I J , POUGET-ABADIE J , MIRZA M , et al . Generative adversarial networks [J ] . Advances in Neural Information Processing Systems , 2014 , 3 : 2672 - 2680 .

PURINGTON A , TAFT J G , SANNON S , et al . Alexa is my new bff:social roles,user satisfaction,and personification of the amazon echo [C ] // Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems . 2017 : 2853 - 2859 .

CHAWLA R . Deepfakes:how a pervert shook the world [J ] . International Journal of Advance Research and Development , 2019 , 4 ( 6 ): 4 - 8 .

ZHOU Y , LIM S N . Joint audio-visual deepfake detection [C ] // Proceedings of the IEEE/CVF International Conference on Computer Vision . 2021 : 14800 - 14809 .

ZOBAED S , RABBY F , HOSSAIN I , et al . Deepfakes:detecting forged and synthetic media content using machine learning [M ] . Artificial Intelligence in Cyber Security : Impact and Implications.Springer,Cham , 2021 : 177 - 201 .

罗常伟 , 於俊 , 汪增福 . 视频驱动人脸动画合成 [J ] . 自动化学报 , 2014 , 40 ( 10 ): 2245 - 2252 .

LUO C W , YU J , WANG Z F . Synthesizing performance driven facial animation [J ] . Acta Automatica Sinica , 2014 , 40 ( 10 ): 2245 - 2252 .

BOOTH J , ROUSSOS A , PONNIAH A , et al . Large scale 3D morphable models [J ] . International Journal of Computer Vision , 2018 , 126 ( 2 ): 233 - 254 .

魏薇 , 牛金行 , 景慧昀 . 人工智能安全 [M ] . 北京:化学工业出版社 . 2020 .

WEI W , NIU J X , JING H Y . Artificial intelligence security [M ] . Beijing : Chemical Industry Press , 2020 .

CHESNEY R , CITRON D K . 21st century-style truth decay:deepfakes and the challenge for privacy,free expression,and national security [J ] . Maryland Law Review , 2019 , 78 ( 04 ): 882 - 891 .

CHESNEY R , CITRON D K . Deepfakes and the new disinformation war:the coming age of post-truth geopolitics [J ] . Foreign Affairs , 2019 , 98 ( 01 ): 147 - 155 .

MALIK A , KURIBAYASHI M , ABDULLAHI S M , et al . Deepfake detection for human face images and videos:a survey [J ] . IEEE Access , 2022 .

PESETSKI A . Deepfakes:a new content category for a digital age [J ] . William ＆ Mary Bill of Rights Journal , 2020 , 29 ( 2 ): 507 - 508 .

CHESNEY R , CITRON D K . Deepfakes:a looming challenge for privacy,democracy,and national security [J ] . California Law Review , 2019 , 107 ( 6 ): 1753 - 1819 .

CHADHA A , KUMAR V , KASHYAP S , et al . Deepfake:an overview [C ] // Proceedings of Second International Conference on Computing,Communications,and Cyber-Security . 2021 : 557 - 566 .

MARAS M H , ALEXANDROU A . Determining authenticity of video evidence in the age of artificial intelligence and in the wake of deepfake videos [J ] . International Journal of Evidence and Proof , 2018 , 23 ( 3 ): 255 - 262 .

刘国柱 . 深度伪造与国家安全:基于总体国家安全观的视角 [J ] . 国际安全研究 , 2022 , 40 ( 3 ): 3 - 31 .

LIU G Z . Deep forgery and n-ational security:from the perspective of overall national security view [J ] . Journal of International Security Studies , 2022 , 40 ( 3 ): 3 - 31 .

DOUGLAS H . Deepfakes：false pornography is here and the law cannot protect you [J ] . Duck Law and Technology Review , 2019 , 17 ( 1 ): 99 - 127 .

JESSICA S , WOODROW H . The upside of deep fakes [J ] . Maryland Law Review , 2019 , 78 ( 4 ): 960 - 966 .

史安斌 , 胡宇 . 向虚假信息宣战:欧盟的探索 [J ] . 青年记者 , 2018 ( 34 ): 76 .

SHI A B , HU Y . Declaring war on false information:exploration of the European Union [J ] . Youth Journalist , 2018 ( 34 ): 76 .

DURACH F . Tackling disinformation:EU regulation of the digital space [J ] . Romanian Journal of European Affairs , 2020 , 20 ( 1 ): 10 - 11 .

浏览量

363

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

人脸伪造与检测中的对抗攻防综述

面向商用活体检测平台的鲁棒性评估