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公开(公告)号：US20230169407A1
公开(公告)日：2023-06-01
申请号：US18162697
申请日：2023-01-31
Applicant: Snowflake Inc.
Inventor： Monica J. Holboke , Justin Langseth , Stuart Ozer , William L. Stratton, JR.
IPC: G06N20/00 , G06F21/62 , G06F16/25 , G06F16/28 , G06F18/214
CPC classification number: G06N20/00 , G06F21/6227 , G06F16/256 , G06F16/283 , G06F18/214
Abstract: A system for providing access to a database management system (DBMS) to a first user of a cloud data platform, the DBMS being generated by a second user. A machine learning model for training on a training dataset is included in the DBMS. The training dataset includes a first training dataset that is encrypted in the DBMS and a second training dataset that includes non-overlapping features with the first training dataset. A request, from the second user, to train the machine learning model on the first and second training datasets is identified. A trained machine learning model is generated by training the machine learning model on a joined dataset according to the request. One or more outputs from the trained machine learning model are generated by applying the trained machine learning model on new data.
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公开(公告)号：US20230418699A1
公开(公告)日：2023-12-28
申请号：US18462044
申请日：2023-09-06
Applicant: Snowflake Inc.
Inventor： Artin Avanes , Thierry Cruanes , Monica J. Holboke , Allison Waingold Lee , Subramanian Muralidhar , David Schultz
IPC: G06F9/54 , G06F21/62 , G06F16/2455
CPC classification number: G06F9/547 , G06F21/6254 , G06F16/2456 , G06F9/541
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.
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公开(公告)号：US11501015B2
公开(公告)日：2022-11-15
申请号：US17644732
申请日：2021-12-16
Applicant: Snowflake Inc.
Inventor： Monica J. Holboke , Justin Langseth , Stuart Ozer , William L. Stratton, Jr.
Abstract: A secure machine learning system of a database system can be implemented to use secure shared data to train a machine learning model. To manage the model, a first user of the database can share data in an encrypted view with a second user of the database, and further share one or more functions of an application that accesses the data while the data is encrypted. The second user can access functions of the application and can call the functions to generate a trained machine learning model and further generate machine learning outputs (e.g., predictions) from the trained model.
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公开(公告)号：US12235992B2
公开(公告)日：2025-02-25
申请号：US18060504
申请日：2022-11-30
Applicant: Snowflake Inc.
Inventor： Artin Avanes , Thierry Cruanes , Monica J. Holboke , Allison Waingold Lee , Subramanian Muralidhar , David Schultz
IPC: G06F21/62 , G06F9/54 , G06F16/2455 , G06F21/53
Abstract: In an embodiment, an application is created on a data-provider platform. The application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. Provider data is shared with the application on the data-provider platform. An application instance of the application is installed in a trusted execution environment (TEE). The application instance includes one or more APIs corresponding to the one or more APIs in the application on the data-provider platform. Consumer data is shared with the application instance from a data-consumer platform. One or more of the APIs of the application instance are invoked to execute, on the TEE, respective associated underlying code blocks that are not visible on the TEE. The output of the one or more respective associated underlying code blocks is saved to the data-consumer platform.
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公开(公告)号：US11989630B2
公开(公告)日：2024-05-21
申请号：US18162697
申请日：2023-01-31
Applicant: Snowflake Inc.
Inventor： Monica J. Holboke , Justin Langseth , Stuart Ozer , William L. Stratton, Jr.
CPC classification number: G06N20/00 , G06F16/256 , G06F16/283 , G06F18/214 , G06F21/6227
Abstract: A system for providing access to a database management system (DBMS) to a first user of a cloud data platform, the DBMS being generated by a second user. A machine learning model for training on a training dataset is included in the DBMS. The training dataset includes a first training dataset that is encrypted in the DBMS and a second training dataset that includes non-overlapping features with the first training dataset. A request, from the second user, to train the machine learning model on the first and second training datasets is identified. A trained machine learning model is generated by training the machine learning model on a joined dataset according to the request. One or more outputs from the trained machine learning model are generated by applying the trained machine learning model on new data.
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Patent Agency Ranking
公开(公告)号：US20230401333A1
公开(公告)日：2023-12-14
申请号：US18060504
申请日：2022-11-30
Applicant: Snowflake Inc.
Inventor： Artin Avanes , Thierry Cruanes , Monica J. Holboke , Allison Waingold Lee , Subramanian Muralidhar , David Schultz
CPC classification number: G06F21/6245 , G06F21/53 , G06F2221/032
Abstract: In an embodiment, an application is created on a data-provider platform. The application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. Provider data is shared with the application on the data-provider platform. An application instance of the application is installed in a trusted execution environment (TEE). The application instance includes one or more APIs corresponding to the one or more APIs in the application on the data-provider platform. Consumer data is shared with the application instance from a data-consumer platform. One or more of the APIs of the application instance are invoked to execute, on the TEE, respective associated underlying code blocks that are not visible on the TEE. The output of the one or more respective associated underlying code blocks is saved to the data-consumer platform.
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公开(公告)号：US11763029B2
公开(公告)日：2023-09-19
申请号：US18162506
申请日：2023-01-31
Applicant: Snowflake Inc.
Inventor： Artin Avanes , Thierry Cruanes , Monica J. Holboke , Allison Waingold Lee , Subramanian Muralidhar , David Schultz
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.
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公开(公告)号：US12210650B2
公开(公告)日：2025-01-28
申请号：US18462044
申请日：2023-09-06
Applicant: Snowflake Inc.
Inventor： Artin Avanes , Thierry Cruanes , Monica J. Holboke , Allison Waingold Lee , Subramanian Muralidhar , David Schultz
IPC: G06F21/62 , G06F9/54 , G06F16/2455 , G06F21/53
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.
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公开(公告)号：US20240362355A1
公开(公告)日：2024-10-31
申请号：US18647728
申请日：2024-04-26
Applicant: Snowflake Inc.
Inventor： Khalid Zaman Bijon , Monica J. Holboke , Stephen Joe Jonany , David Schultz
IPC: G06F21/62 , G06F16/2455
CPC classification number: G06F21/6227 , G06F16/24556 , G06F16/24565
Abstract: A noisy aggregation constraint system receives a query for a shared dataset, where the query identifies an operation. The noisy aggregation constraint system accesses a set of data from the shared dataset to perform the operation, the set of data comprises data accessed from a table of the shared dataset. The system determines that an aggregation constraint policy is attached to the table, the policy restricts output of data values stored in the table. Based on the context of the query, the system determines that the aggregation constraint policy should be enforced in relation to the query. The system assigns a specified noise level to the shared dataset and generates an output based on the set of data and the operation; the output comprises data values added to the table based on the specified noise level.
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公开(公告)号：US11893462B2
公开(公告)日：2024-02-06
申请号：US18055248
申请日：2022-11-14
Applicant: Snowflake Inc.
Inventor： Monica J. Holboke , Justin Langseth , Stuart Ozer , William L. Stratton, Jr.
CPC classification number: G06N20/00 , G06F16/256 , G06F16/283 , G06F18/214 , G06F21/6227
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.
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