{"title":"通过意义保护词汇水印保护文本生成应用程序接口的知识产权","authors":"Shiyu Zhu, Yun Li, Xiaoye Ouyang, Xiaocheng Hu, Jipeng Qiang","doi":"10.1007/s11704-023-3252-0","DOIUrl":null,"url":null,"abstract":"<p>We aim to protect text generation APIs in this work. Previous LW methods compromised text quality and made watermarks easy to detect through error analysis due to not considering polysemy. To fit this, we propose meaning-preserving lexical substitution method that considers the target word’s correct meaning in context <b>x</b>. This enables high-confidence identification while making watermarks more invisible.</p>","PeriodicalId":12640,"journal":{"name":"Frontiers of Computer Science","volume":"7 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Safeguarding text generation API’s intellectual property through meaning-preserving lexical watermarks\",\"authors\":\"Shiyu Zhu, Yun Li, Xiaoye Ouyang, Xiaocheng Hu, Jipeng Qiang\",\"doi\":\"10.1007/s11704-023-3252-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We aim to protect text generation APIs in this work. Previous LW methods compromised text quality and made watermarks easy to detect through error analysis due to not considering polysemy. To fit this, we propose meaning-preserving lexical substitution method that considers the target word’s correct meaning in context <b>x</b>. This enables high-confidence identification while making watermarks more invisible.</p>\",\"PeriodicalId\":12640,\"journal\":{\"name\":\"Frontiers of Computer Science\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers of Computer Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s11704-023-3252-0\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11704-023-3252-0","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
我们的目标是在这项工作中保护文本生成 API。以前的 LW 方法由于没有考虑多义词而影响了文本质量,并使水印很容易通过错误分析被检测出来。为了解决这个问题,我们提出了意义保护词汇替换法,这种方法会考虑目标词在上下文 x 中的正确含义。
Safeguarding text generation API’s intellectual property through meaning-preserving lexical watermarks
We aim to protect text generation APIs in this work. Previous LW methods compromised text quality and made watermarks easy to detect through error analysis due to not considering polysemy. To fit this, we propose meaning-preserving lexical substitution method that considers the target word’s correct meaning in context x. This enables high-confidence identification while making watermarks more invisible.
期刊介绍:
Frontiers of Computer Science aims to provide a forum for the publication of peer-reviewed papers to promote rapid communication and exchange between computer scientists. The journal publishes research papers and review articles in a wide range of topics, including: architecture, software, artificial intelligence, theoretical computer science, networks and communication, information systems, multimedia and graphics, information security, interdisciplinary, etc. The journal especially encourages papers from new emerging and multidisciplinary areas, as well as papers reflecting the international trends of research and development and on special topics reporting progress made by Chinese computer scientists.