Invention Grant
- Patent Title: Noise generation for differential privacy
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Application No.: US16809900Application Date: 2020-03-05
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Publication No.: US11343012B2Publication Date: 2022-05-24
- Inventor: Anjaneya Malpani , Jagadeesh Virupaksha Huliyar , Xinyun Sun , Sreeram Nivarthi , Muthukrishnan Paramasivam , Dheepak Ramaswamy , Sriradha Selvaraj , Ananthatejas Raghavan , Sergey Yekhanin , Janardhan Kulkarni , Aleksey Ashikhmin , Sivakanth Gopi , Bingran Luo
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04K1/02
- IPC: H04K1/02 ; H04W12/02 ; G06F16/248 ; H04L41/08 ; H03M13/39 ; H03M13/41 ; H03M13/00

Abstract:
A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.
Public/Granted literature
- US20210281483A1 NOISE GENERATION FOR DIFFERENTIAL PRIVACY Public/Granted day:2021-09-09
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