Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Davis Railsback"'
Autor:
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-18 (2021)
Abstract Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns. Training machine learning models on the joint data without violating privacy is
Externí odkaz:
https://doaj.org/article/f5a3b95b994d4970969d093c3bd935d2
Publikováno v:
Davi Resende, A C, Railsback, D, Dowsley, R, Nascimento, A C A & Aranha, D F 2022, ' Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation ', IEEE Transactions on Information Forensics and Security, vol. 17, pp. 428-442 . https://doi.org/10.1109/TIFS.2022.3144007
We propose a privacy-preserving Naive Bayes classifier and apply it to the problem of private text classification. In this setting, a party (Alice) holds a text message, while another party (Bob) holds a classifier. At the end of the protocol, Alice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59bb0dec5c51f5a3d6b8beff7ec80697
https://pure.au.dk/portal/da/publications/fast-privacypreserving-text-classification-based-on-secure-multiparty-computation(99e99999-badb-4b7b-8220-95e0760411f0).html
https://pure.au.dk/portal/da/publications/fast-privacypreserving-text-classification-based-on-secure-multiparty-computation(99e99999-badb-4b7b-8220-95e0760411f0).html
Autor:
Samuel Adams, Chaitali Choudhary, Martine de Cock, Rafael Dowsley, David Melanson, Anderson Nascimento, Davis Railsback, Jianwei Shen
Publikováno v:
PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES
Most existing Secure Multi-Party Computation (MPC) protocols for privacy-preserving training of decision trees over distributed data assume that the features are categorical. In real-life applications, features are often numerical. The standard “in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b20ce4f9af98eb140db574ec2692ec7f
http://arxiv.org/abs/2106.02769
http://arxiv.org/abs/2106.02769