Method for preventing data leakage to machine learning engines available in electronic device

    公开(公告)号:US12242604B2

    公开(公告)日:2025-03-04

    申请号:US17566369

    申请日:2021-12-30

    Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

    METHOD FOR PREVENTING DATA LEAKAGE TO MACHINE LEARNING ENGINES AVAILABLE IN ELECTRONIC DEVICE

    公开(公告)号:US20220198006A1

    公开(公告)日:2022-06-23

    申请号:US17566369

    申请日:2021-12-30

    Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Patent Agency Ranking