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    Batch Cryptography For Hardware Security Modules
    1.
    发明申请
    Batch Cryptography For Hardware Security Modules 有权

    公开(公告)号：US20210286901A1

    公开(公告)日：2021-09-16

    申请号：US17119342

    申请日：2020-12-11

    Applicant: Google LLC

    Inventor： Aditya Sinha ,  Vanessa Reimer

    IPC: G06F21/72 ,  G06F21/60 ,  G06F13/40 ,  G06F9/54

    Abstract: Methods, systems, and apparatuses, including computer storage media and hardware security modules, for performing batch cryptography on hardware security modules. A hardware security module can receive a request to perform one or more cryptographic operations. The request can include a batch data structure storing a plurality of data elements. The hardware security module can unbatch the plurality of data elements, perform one or more cryptographic operations on the plurality of data elements to generate a plurality of outputs, generate an output batch data structure storing the plurality of outputs, and transmit the output batch data structure in response to the request. The request and the batch data structure can be formed in accordance with a batch hardware security module application program interface (API) implemented by the hardware security module.

    Scalable Self-Supervised Graph Clustering
    2.
    发明公开
    Scalable Self-Supervised Graph Clustering 审中-公开

    公开(公告)号：US20240176993A1

    公开(公告)日：2024-05-30

    申请号：US18485457

    申请日：2023-10-12

    Applicant: Google LLC

    Inventor： Prateek Jain ,  Inderjit Singh Dhillon ,  Fnu Devvrit ,  Aditya Sinha

    IPC: G06N3/0464 ,  G06N3/0895

    CPC classification number: G06N3/0464 ,  G06N3/0895

    Abstract: A method of training a machine learning model includes receiving training data comprising a graph structure and one or more feature attributes and determining an encoded graph based on applying the machine learning model to the graph structure and the one or more feature attributes. The machine learning model comprises a graph convolutional network layer. The encoded graph comprises one or more nodes and one or more paths connecting the one or more nodes. The method also includes selecting a plurality of positive samples through random walks along the one or more paths of the encoded graph, selecting a plurality of negative samples from the encoded graph by randomly sampling the one or more nodes of the encoded graph, determining a loss value, and updating, based on the loss value, one or more learnable parameter values of the machine learning model.

    Batch cryptography for hardware security modules
    4.
    发明授权
    Batch cryptography for hardware security modules 有权

    公开(公告)号：US11630921B2

    公开(公告)日：2023-04-18

    申请号：US17119342

    申请日：2020-12-11

    Applicant: Google LLC

    Inventor： Aditya Sinha ,  Vanessa Reimer

    IPC: G06F21/72 ,  G06F9/54 ,  G06F13/40 ,  G06F21/60

    Abstract: Methods, systems, and apparatuses, including computer storage media and hardware security modules, for performing batch cryptography on hardware security modules. A hardware security module can receive a request to perform one or more cryptographic operations. The request can include a batch data structure storing a plurality of data elements. The hardware security module can unbatch the plurality of data elements, perform one or more cryptographic operations on the plurality of data elements to generate a plurality of outputs, generate an output batch data structure storing the plurality of outputs, and transmit the output batch data structure in response to the request. The request and the batch data structure can be formed in accordance with a batch hardware security module application program interface (API) implemented by the hardware security module.

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