Abstract
Abstract: I intend and complete activity a insured Naive Bayes sign to resolve the issue of private theme request. Alice, on one side, is holding a text, and Impact, on the other, is holding a classifier. Bob won't have advanced by any means, and Alice will just know how the calculation answered her text at the show's decision. Reaction depends on Secure Multiparty Computation (SMC). Utilizing Rust variant, it is basic and get to classify unstructured text. I can determine if a SMS is marketing mail or hot dog in inferior 340 milliseconds when Impact's model's declaration remark breadth covers all dispute (n = 5200) and Alice's SMS has m = 160 unigrams. This plan is adjustable and maybe secondhand in miscellaneous position place the Earnest Bayes classifier maybe secondhand. For n = 369 and m = 8, the sane number of marketing mail SMSs in the educational group, plan just takes 21 milliseconds
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