Microsoft patents method to create fake data with variable privacy protection
Microsoft describes a system that creates synthetic data by first assessing the risk level of each individual data entry. It then applies different levels of protection, such as adding noise or grouping data, based on how sensitive that specific information is.
In the filing’s own words
Systems and methods for generating synthetic data. One such method includes receiving, at a security unit, adaptive controls comprising both privacy budget constraints and compliance requirements for determining risk scores for sensitive information. Th method further includes receiving, at the security unit, an input dataset comprising a plurality of data entries including sensitive information and determining a risk score in accordance with the compliance requirements for each of the plurality of data entries. The method further includes dynamically allocating, for each of the plurality of data entries, a privacy budget based on the risk score for the data entry and the privacy budget constraints. The method further includes performing adaptive remediation on the input dataset to generate a synthetic dataset, wherein adaptive remediation comprises adaptive aggregation and/or adaptive differential noise injection.
What exactly they claim (claim 1)
1. A system comprising: a processor; and a computer-readable medium storing instructions that are operative upon execution by the processor to: receive, at a security unit, adaptive controls comprising both privacy budget constraints and compliance requirements for determining risk scores for sensitive information; receive, at the security unit, an input dataset comprising a plurality of data entries including the sensitive information; determine a risk score in accordance with the compliance requirements for each of the plurality of data entries; dynamically allocate, for each data entry of the plurality of data entries, a privacy budget based on the risk score for the data entry and the privacy budget constraints; and perform adaptive remediation on the input dataset to generate a synthetic dataset, wherein the adaptive remediation comprises adaptive aggregation and/or adaptive differential noise injection.
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- SYNTHETIC DATA GENERATION INCORPORATING ADAPTIVE PRIVACY PROTECTION TECHNIQUES
- Publication number
- US20260310819A1
- Application number
- 19172629
- Filed
- Apr 7, 2025
- Published
- Oct 8, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06F 21/6245 Physics & computingMore from Microsoft in Security & privacy
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.