In this work, we formulate a privacy-preserving multiparty scheme for performing keyword-based classification of unstructured text data, with a case study on ...
Party-2 has a set of keywords that indicate the affected bone joints of the arthritis patient, which will be matched against Party-1's unstructured text data.
Aug 15, 2024 · We developed a variety of novel techniques and integrated these using the proposed backbone infrastructure to enable the following features.
Jan 18, 2021 · We propose a privacy-preserving Naive Bayes classifier and apply it to the problem of private text classification.
Apr 29, 2024 · Privacy-Preserving Multi-Party Keyword-Based Classification of Unstructured Text Data. Ian Pépin 1. ,. Furkan Alaca 1. ,. Farhana Zulkernine 1.
We propose the first privacy- preserving solution for text classification that is provably secure. Our method, which is based on Secure Multiparty Computation ( ...
Missing: Keyword- | Show results with:Keyword-
ABSTRACT: We present and utilize a Naive Bayes classifier that jam security to the issue of private message grouping. Alice is the side holding the instant ...
Aug 1, 2024 · In this article paper, we propose a novel language model secure inference scheme based on secure multi-party computation (MPC) technology.
Missing: Keyword- | Show results with:Keyword-
Jan 21, 2022 · PDF | We propose a privacy-preserving Naive Bayes classifier and apply it to the problem of private text classification.
In this paper, we present an extension of a privacy-preserving data mining algorithm, thoroughly designed and developed for both horizontally and vertically ...