PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING

    公开(公告)号:US20240232423A1

    公开(公告)日:2024-07-11

    申请号:US17924897

    申请日:2022-04-05

    Applicant: Google LLC

    CPC classification number: G06F21/6245 G06F21/10

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for privacy-preserving cross-domain experiment monitoring are described. In one aspect, a method includes receiving, by a first server of a MPC system, a request for digital content including a first secret share of an application instance identifier that identifies the application instance associated with the device. The first server conducts, in collaboration with a second server of the secure MPC system, a privacy-preserving selection process to select a winning digital component from a set of digital components. Each digital component has a corresponding unique experiment identifier and unique control identifier. A first secret share representing the winning digital component is generated. A response is generated and includes the first secret share of the selection result and data representing whether the application is in the experiment group or a control group for each digital component.

    Privacy-preserving cross-domain experimental group partitioning and monitoring

    公开(公告)号:US12130893B2

    公开(公告)日:2024-10-29

    申请号:US17924897

    申请日:2022-04-05

    Applicant: Google LLC

    CPC classification number: G06F21/10 G06F21/6245

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for privacy-preserving cross-domain experiment monitoring are described. In one aspect, a method includes receiving, by a first server of a MPC system, a request for digital content including a first secret share of an application instance identifier that identifies the application instance associated with the device. The first server conducts, in collaboration with a second server of the secure MPC system, a privacy-preserving selection process to select a winning digital component from a set of digital components. Each digital component has a corresponding unique experiment identifier and unique control identifier. A first secret share representing the winning digital component is generated. A response is generated and includes the first secret share of the selection result and data representing whether the application is in the experiment group or a control group for each digital component.

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