Invention Grant
- Patent Title: Layered stochastic anonymization of data
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Application No.: US15969917Application Date: 2018-05-03
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Publication No.: US11763188B2Publication Date: 2023-09-19
- Inventor: Patrick Watson , Maria Chang , Tengfei Ma , Aldis Sipolins
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N3/08 ; H04L9/40 ; G06T11/00

Abstract:
Techniques that facilitate layered stochastics anonymization of data are provided. In one example, a system includes a machine learning component and an evaluation component. The machine learning component performs a machine learning process for first data associated with one or more features to generate second data indicative of one or more example datasets within a degree of similarity to the first data. The first data and the second data comprise a corresponding data format. The evaluation component evaluates the second data for a particular feature from the one or more features and generates third data indicative of a confidence score for the second data.
Public/Granted literature
- US20190340541A1 LAYERED STOCHASTIC ANONYMIZATION OF DATA Public/Granted day:2019-11-07
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