System and Method for Secure Causality Discovery
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United States of America Patent
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Oct 22, 2020
app pub date -
Apr 20, 2020
filing date -
Apr 19, 2019
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Abstract
A method is performed by a plurality of networked party computing systems configured to perform secure multi-party computations, each computer system having at least one processor and a memory. The method can include creating a secret shared matrix based on secret data of each of the plurality of party computing systems, wherein the secret shared matrix includes a plurality of time-shifted sequences of data from each of an independent time series of data and a dependent time series of data; computing, based on the secret shared matrix and in a secure multi-party computation, a secret shared model for predicting the dependent time series of data based on the independent time series of data; and using the secret shared model to determine a statistic for one of the plurality of time-shifted sequences of data from the independent time series as a predictor of the dependent time series of data.
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