- 专利标题: Secure machine learning analytics using homomorphic encryption
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申请号: US17473778申请日: 2021-09-13
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公开(公告)号: US11902413B2公开(公告)日: 2024-02-13
- 发明人: Ellison Anne Williams , Ryan Carr
- 申请人: Enveil, Inc.
- 申请人地址: US MD Fulton
- 专利权人: Enveil, Inc.
- 当前专利权人: Enveil, Inc.
- 当前专利权人地址: US MD Fulton
- 代理机构: Carr & Ferrell LLP
- 主分类号: H04L9/00
- IPC分类号: H04L9/00 ; H04L9/32 ; G06N20/10 ; G06N3/08 ; G06N5/01
摘要:
Provided are methods and systems for performing a secure machine learning analysis over an instance of data. An example method includes acquiring, by a client, a homomorphic encryption scheme, and at least one machine learning model data structure. The method further includes generating, using the encryption scheme, at least one homomorphically encrypted data structure, and sending the encrypted data structure to at least one server. The method includes executing a machine learning model, by the at least one server based on the encrypted data structure to obtain an encrypted result. The method further includes sending, by the server, the encrypted result to the client where the encrypted result is decrypted. The machine learning model includes neural networks and decision trees.
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