{"title":"关于两方以上的安全多方抽样","authors":"M. Prabhakaran, V. Prabhakaran","doi":"10.1109/ITW.2012.6404773","DOIUrl":null,"url":null,"abstract":"We investigate secure multi-party sampling problems involving more than two parties. In the public discussion model, we give a simple characterization of the distributions that can be sampled without any setup. In a model which allows private point-to-point communication, we reduce the problem of characterizing distributions that can be securely sampled using pairwise setups to the problem of characterizing distributions that can be sampled without any setups.","PeriodicalId":325771,"journal":{"name":"2012 IEEE Information Theory Workshop","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"On secure multiparty sampling for more than two parties\",\"authors\":\"M. Prabhakaran, V. Prabhakaran\",\"doi\":\"10.1109/ITW.2012.6404773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate secure multi-party sampling problems involving more than two parties. In the public discussion model, we give a simple characterization of the distributions that can be sampled without any setup. In a model which allows private point-to-point communication, we reduce the problem of characterizing distributions that can be securely sampled using pairwise setups to the problem of characterizing distributions that can be sampled without any setups.\",\"PeriodicalId\":325771,\"journal\":{\"name\":\"2012 IEEE Information Theory Workshop\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Information Theory Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITW.2012.6404773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Information Theory Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW.2012.6404773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On secure multiparty sampling for more than two parties
We investigate secure multi-party sampling problems involving more than two parties. In the public discussion model, we give a simple characterization of the distributions that can be sampled without any setup. In a model which allows private point-to-point communication, we reduce the problem of characterizing distributions that can be securely sampled using pairwise setups to the problem of characterizing distributions that can be sampled without any setups.