{"title":"关于差分隐私的问答","authors":"F. Liu","doi":"10.1080/09332480.2022.2145146","DOIUrl":null,"url":null,"abstract":"This article is a Q&A on differential privacy (DP), a state-of-the-art and popular privacy concept. There are 11 questions, including “What is DP?”, the reasons for its popularity among privacy researchers, examples of real-world applications of DP, and open-source code and platforms on DP. For those who have heard about DP, but have not yet had a chance to read papers and publications on DP (either technical or non-technical) I hope this Q&A will provide something useful and insightful.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"25 1","pages":"52 - 56"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Q&A about Differential Privacy\",\"authors\":\"F. Liu\",\"doi\":\"10.1080/09332480.2022.2145146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is a Q&A on differential privacy (DP), a state-of-the-art and popular privacy concept. There are 11 questions, including “What is DP?”, the reasons for its popularity among privacy researchers, examples of real-world applications of DP, and open-source code and platforms on DP. For those who have heard about DP, but have not yet had a chance to read papers and publications on DP (either technical or non-technical) I hope this Q&A will provide something useful and insightful.\",\"PeriodicalId\":88226,\"journal\":{\"name\":\"Chance (New York, N.Y.)\",\"volume\":\"25 1\",\"pages\":\"52 - 56\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chance (New York, N.Y.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09332480.2022.2145146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chance (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09332480.2022.2145146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article is a Q&A on differential privacy (DP), a state-of-the-art and popular privacy concept. There are 11 questions, including “What is DP?”, the reasons for its popularity among privacy researchers, examples of real-world applications of DP, and open-source code and platforms on DP. For those who have heard about DP, but have not yet had a chance to read papers and publications on DP (either technical or non-technical) I hope this Q&A will provide something useful and insightful.
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