Invention Grant
- Patent Title: Adaptive differentially private count
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Application No.: US18510179Application Date: 2023-11-15
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Publication No.: US12105832B2Publication Date: 2024-10-01
- Inventor: Liam James Damewood , Oana Niculaescu , Alexander Rozenshteyn , Ann Yang
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/245
- IPC: G06F16/245 ; G06F21/62

Abstract:
A differentially private security system communicatively coupled to a database storing restricted data receives a database query from a client. The database query includes an operation, a target accuracy, and a maximum privacy spend for the query. The system performs the operation to produce a result, then injects the result with noise sampled from a Laplace distribution to produce a differentially private result. The system iteratively calibrates the noise value of the differentially private result using a secondary distribution different from the Laplace distribution and a new fractional privacy spend. The system ceases to iterate when an iteration uses the maximum privacy spend or a relative error of the differentially private result is determined to satisfy the target accuracy, or both. The system sends the differentially private result to the client.
Public/Granted literature
- US20240095392A1 ADAPTIVE DIFFERENTIALLY PRIVATE COUNT Public/Granted day:2024-03-21
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