PRIVACY PROTECTION DATA PROVIDING SYSTEM AND PRIVACY PROTECTION DATA PROVIDING METHOD

摘要

PROBLEM TO BE SOLVED: To acquire an accurate, suitable and anonymous deep layer learning model, regardless of types of data, when acquiring the anonymous deep layer learning model.;SOLUTION: An error based on a Laplace distribution is given to a parameter value in a deep layer learning model in which a deep layer learning has been performed and when each parameter to which the error has been given on the basis of the Laplace distribution exceeds a range of thresholds indicated as a maximum value and a minimum value, each parameter is caused to be limited within the range of the thresholds for anonymization. Or an error based on the Laplace distribution is given to a parameter value used in a calculation at the time of the calculation to obtain the deep layer learning model, and when each parameter to which the error has been given on the basis of the Laplace distribution exceeds the range of the thresholds indicated as the maximum value and the minimum value, it is caused to be limited within the range of the thresholds for anonymization.;SELECTED DRAWING: Figure 3;COPYRIGHT: (C)2018,JPO&INPIT