隐藏咒(ConcealGAN):使用生成模型自动生成隐写文本以绕过审查

{"title":"隐藏咒(ConcealGAN):使用生成模型自动生成隐写文本以绕过审查","authors":"Nurpeiis Baimukan, Quanyan Zhu","doi":"10.1002/9781119723950.ch18","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":332247,"journal":{"name":"Game Theory and Machine Learning for Cyber Security","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Concealment Charm (\\n ConcealGAN\\n ): Automatic Generation of Steganographic Text Using Generative Models to Bypass Censorship\",\"authors\":\"Nurpeiis Baimukan, Quanyan Zhu\",\"doi\":\"10.1002/9781119723950.ch18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":332247,\"journal\":{\"name\":\"Game Theory and Machine Learning for Cyber Security\",\"volume\":\"139 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Game Theory and Machine Learning for Cyber Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119723950.ch18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Game Theory and Machine Learning for Cyber Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119723950.ch18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}