Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes

Detalhes bibliográficos
Autor(a) principal: Amanda Cristina Davi Resende
Data de Publicação: 2021
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=11002332
id BRCRIS_77bd9b073b3c68bae1061b106fec517a
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
title Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
spellingShingle Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
Spam
Amanda Cristina Davi Resende
title_short Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
title_full Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
title_fullStr Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
title_full_unstemmed Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
title_sort Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes
topic Spam
publishDate 2021
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=11002332
author_role author
author Amanda Cristina Davi Resende
author_facet Amanda Cristina Davi Resende
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6447885518229650
dc.contributor.advisor1.fl_str_mv Diego de Freitas Aranha
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9788199690491510
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0002-2457-0783
dc.publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL DE CAMPINAS
publisher.none.fl_str_mv UNIVERSIDADE ESTADUAL DE CAMPINAS
instname_str UNIVERSIDADE ESTADUAL DE CAMPINAS
dc.publisher.program.fl_str_mv CIÊNCIA DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIA DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesProtocols for Private Set Intersection (PSI) and Private Classification based on Naive BayesSpam2021doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=11002332authorAmanda Cristina Davi Resendehttp://lattes.cnpq.br/6447885518229650Diego de Freitas Aranhahttp://lattes.cnpq.br/9788199690491510https://orcid.org/0000-0002-2457-0783UNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASUNIVERSIDADE ESTADUAL DE CAMPINASCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Resende, Amanda Cristina Davi. Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes. 2021. Tese.
dc.identifier.citation.fl_str_mv Resende, Amanda Cristina Davi. Protocols for Private Set Intersection (PSI) and Private Classification based on Naive Bayes. 2021. Tese.
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