DATA CLEAN ROOMS USING DEFINED ACCESS WITH HOMOMORPHIC ENCRYPTION

    公开(公告)号:US20230401334A1

    公开(公告)日:2023-12-14

    申请号:US18217163

    申请日:2023-06-30

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6245 G06F21/53 G06F2221/032

    Abstract: A data platform creates an application in a data-provider account, where the application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. The data platform shares homomorphically encrypted provider data with the application in the data-provider account. The data platform installs, in a data-consumer account, an application instance of the application. The data platform shares homomorphically encrypted consumer data with the application instance in the data-consumer account. The data platform invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account, and which operate on the shared homomorphically encrypted provider data and the shared homomorphically encrypted consumer data. The data platform saves homomorphically encrypted output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    DATA CLEAN ROOMS USING DEFINED ACCESS

    公开(公告)号:US20250111083A1

    公开(公告)日:2025-04-03

    申请号:US18977758

    申请日:2024-12-11

    Applicant: Snowflake Inc.

    Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    Data clean rooms using defined access

    公开(公告)号:US11803432B1

    公开(公告)日:2023-10-31

    申请号:US18051457

    申请日:2022-10-31

    Applicant: Snowflake Inc.

    CPC classification number: G06F9/547 G06F9/541 G06F16/2456 G06F21/6254

    Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    MACHINE LEARNING USING SECURED SHARED DATA
    14.
    发明公开

    公开(公告)号:US20230186160A1

    公开(公告)日:2023-06-15

    申请号:US18055248

    申请日:2022-11-14

    Applicant: Snowflake Inc.

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for sharing, on a distributed database, a database application to a first user of the distributed database, the database application generated by a second user of the distributed database. The training dataset includes a first database training dataset from the first user of the distributed database and a second database training dataset from the second user of the distributed database, the first database training dataset and the second database training dataset including non-overlapping dataset features. The database application further identifies a query from the second user to train the machine learning model on the training dataset and generates a trained machine learning model by training the machine learning model on a joined dataset according to the query. The database application generates outputs from the trained machine learning model by applying the trained machine learning model on new data.

    DATA CLEAN ROOMS USING DEFINED ACCESS WITH HOMOMORPHIC ENCRYPTION

    公开(公告)号:US20230177210A1

    公开(公告)日:2023-06-08

    申请号:US18162506

    申请日:2023-01-31

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6245 G06F21/53 G06F2221/032

    Abstract: A data platform creates an application in a data-provider account, where the application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. The data platform shares homomorphically encrypted provider data with the application in the data-provider account. The data platform installs, in a data-consumer account, an application instance of the application. The data platform shares homomorphically encrypted consumer data with the application instance in the data-consumer account. The data platform invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account, and which operate on the shared homomorphically encrypted provider data and the shared homomorphically encrypted consumer data. The data platform saves homomorphically encrypted output of the one or more respective associated underlying code blocks locally within the data-consumer account.

Patent Agency Ranking