METHODS AND SYSTEMS FOR EXPLAINING A DECISION PROCESS OF A MACHINE LEARNING MODEL

    公开(公告)号:US20210350004A1

    公开(公告)日:2021-11-11

    申请号:US16866997

    申请日:2020-05-05

    Abstract: A method and system for explaining a decision process of a machine learning model that includes inputting into a machine learning model a first input data file; receiving a first output data file from the machine learning model based on the first input data file; executing an adversarial attack on the machine learning model, creating a mapping of the one or more units of data of the first input data file with changes by the adversarial attack exceeding a first threshold to one or more segments of the first input data file; determining a density of the changes to the one or more units of data in each of the one or more segments; and displaying the one or more segments of the first input data file having a density of changes to the one or more units of data exceeding a second threshold via a graphical user interface.

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