{"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}