Invention Grant
- Patent Title: Data anonymization for data labeling and development purposes
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Application No.: US17076896Application Date: 2020-10-22
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Publication No.: US12013968B2Publication Date: 2024-06-18
- Inventor: Sascha Lange
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Maginot, Moore & Beck LLP
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/48 ; G06T5/70 ; G06T7/70 ; G06T11/00 ; G10L21/007 ; G10L21/0232 ; G10L25/57

Abstract:
A method and system are disclosed for anonymizing data for labeling and development purposes. A data storage backend has a database of non-anonymous data that is received from a data source. An anonymization engine of the data storage backend generates anonymized data by removing personally identifiable information from the non-anonymous data. These anonymized data are made available to human labelers who manually provide labels based on the anonymized data using a data labeling tool. These labels are then stored in association with the corresponding non-anonymous data, which can then be used for training one or more machine learning models. In this way, non-anonymous data having personally identifiable information can be manually labelled for development purposes without exposing the personally identifiable information to any human labelers.
Public/Granted literature
- US20220129582A1 DATA ANONYMIZATION FOR DATA LABELING AND DEVELOPMENT PURPOSES Public/Granted day:2022-04-28
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