{"title":"深度造假技术及其应用研究","authors":"Jiang Bu, Ri-Lie Jiang, Bin Zheng","doi":"10.1145/3603781.3603790","DOIUrl":null,"url":null,"abstract":"In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social networks, bringing new vitality in film and television industry, culture and education, advertising marketing and other fields. Meanwhile, the abuse and evil use of this technology has also aroused widespread concern and concern in the society. Based on the basic principle of deep forgery technology, this paper points out that deep forgery technology has the characteristics of high intelligence degree, rapid iterative optimization, difficult detection and identification, and summarizes the current deep forgery technology mainly includes video face changing, audio synthesis, text forgery and so on. This paper analyzes the typical application fields of deep forgery technology and the potential security risks such as personal and property damage, threatening election order and public security, aggravating social trust crisis, and puts forward measures to prevent and deal with the abuse of deep forgery technology from the aspects of improving the ability of forgery detection technology, strengthening the management of network platform, regulating through legal means, improving the public information media literacy, etc. In order to make the public more objective view and better use of deep forgery technology.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Deepfake Technology and Its Application\",\"authors\":\"Jiang Bu, Ri-Lie Jiang, Bin Zheng\",\"doi\":\"10.1145/3603781.3603790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social networks, bringing new vitality in film and television industry, culture and education, advertising marketing and other fields. Meanwhile, the abuse and evil use of this technology has also aroused widespread concern and concern in the society. Based on the basic principle of deep forgery technology, this paper points out that deep forgery technology has the characteristics of high intelligence degree, rapid iterative optimization, difficult detection and identification, and summarizes the current deep forgery technology mainly includes video face changing, audio synthesis, text forgery and so on. This paper analyzes the typical application fields of deep forgery technology and the potential security risks such as personal and property damage, threatening election order and public security, aggravating social trust crisis, and puts forward measures to prevent and deal with the abuse of deep forgery technology from the aspects of improving the ability of forgery detection technology, strengthening the management of network platform, regulating through legal means, improving the public information media literacy, etc. In order to make the public more objective view and better use of deep forgery technology.\",\"PeriodicalId\":391180,\"journal\":{\"name\":\"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3603781.3603790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3603781.3603790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Deepfake Technology and Its Application
In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social networks, bringing new vitality in film and television industry, culture and education, advertising marketing and other fields. Meanwhile, the abuse and evil use of this technology has also aroused widespread concern and concern in the society. Based on the basic principle of deep forgery technology, this paper points out that deep forgery technology has the characteristics of high intelligence degree, rapid iterative optimization, difficult detection and identification, and summarizes the current deep forgery technology mainly includes video face changing, audio synthesis, text forgery and so on. This paper analyzes the typical application fields of deep forgery technology and the potential security risks such as personal and property damage, threatening election order and public security, aggravating social trust crisis, and puts forward measures to prevent and deal with the abuse of deep forgery technology from the aspects of improving the ability of forgery detection technology, strengthening the management of network platform, regulating through legal means, improving the public information media literacy, etc. In order to make the public more objective view and better use of deep forgery technology.