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    ADVERSARIAL SAMPLE PROTECTION FOR MACHINE LEARNING
    3.
    发明公开
    ADVERSARIAL SAMPLE PROTECTION FOR MACHINE LEARNING 审中-公开

    公开(公告)号：EP4202786A1

    公开(公告)日：2023-06-28

    申请号：EP22201179.3

    申请日：2022-10-12

    申请人： INTEL Corporation

    发明人： LEVY, Dor ,  BEN-SHALOM, Omer ,  KELLERMANN, Raizy ,  NAYSHTUT, Alex

    IPC分类号： G06N3/094 ,  G06F21/54 ,  G06F21/57 ,  G06N3/084

    摘要： Adversarial sample protection for machine learning is described. An example of a storage medium includes instructions for initiating processing of examples for training of an inference engine in a system; dynamically selecting a subset of defensive preprocessing methods from a repository of defensive preprocessing methods for a current iteration of processing, wherein a subset of defensive preprocessing methods is selected for each iteration of processing; performing training of the inference engine with a plurality of examples, wherein the training of the inference engine include operation of the selected subset of defensive preprocessing methods; and performing an inference operation with the inference engine, including utilizing the selected subset of preprocessing defenses for the current iteration of processing.