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公开(公告)号：US11347886B1
公开(公告)日：2022-05-31
申请号：US17390938
申请日：2021-07-31
Applicant: Snowflake Inc.
Inventor： Justin Langseth , Michael Earle Rainey , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/9535 , G06F16/27 , H04L9/40 , H04L9/06
Abstract: Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts, including different provider database user accounts that provide user data and a network service and a requesting user that generates one or more clean room requests. The data clean room may also restrict which data may be used in the analysis and may restrict the output.
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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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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：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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公开(公告)号：US11809600B2
公开(公告)日：2023-11-07
申请号：US18104281
申请日：2023-01-31
Applicant: Snowflake Inc.
Inventor： Rachel Frances Blum , Joshua James Chacona , Christian Kleinerman , Justin Langseth , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/22 , G06F16/2455
CPC classification number: G06F21/6254 , G06F16/2282 , G06F16/2455 , G06F21/6263
Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.
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Patent Agency Ranking
公开(公告)号：US10970419B1
公开(公告)日：2021-04-06
申请号：US16944929
申请日：2020-07-31
Applicant: Snowflake Inc.
Inventor： Rachel Frances Blum , Joshua James Chacona , Christian Kleinerman , Justin Langseth , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/2455 , G06F16/22
Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.
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公开(公告)号：US12189822B2
公开(公告)日：2025-01-07
申请号：US18475610
申请日：2023-09-27
Applicant: Snowflake Inc.
Inventor： Rachel Frances Blum , Joshua James Chacona , Christian Kleinerman , Justin Langseth , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/22 , G06F16/2455
Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.
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公开(公告)号：US12013969B2
公开(公告)日：2024-06-18
申请号：US17160924
申请日：2021-01-28
Applicant: Snowflake Inc.
Inventor： Rachel Frances Blum , Joshua James Chacona , Christian Kleinerman , Justin Langseth , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/22 , G06F16/2455
CPC classification number: G06F21/6254 , G06F16/2282 , G06F16/2455 , G06F21/6263
Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.
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公开(公告)号：US11748514B2
公开(公告)日：2023-09-05
申请号：US17160924
申请日：2021-01-28
Applicant: Snowflake Inc.
Inventor： Rachel Frances Blum , Joshua James Chacona , Christian Kleinerman , Justin Langseth , William L. Stratton, Jr.
IPC: G06F21/62 , G06F16/22 , G06F16/2455
CPC classification number: G06F21/6254 , G06F16/2282 , G06F16/2455 , G06F21/6263
Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.
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公开(公告)号：US11216580B1
公开(公告)日：2022-01-04
申请号：US17232859
申请日：2021-04-16
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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