Invention Grant
- Patent Title: Methods and systems for automated detection of personal information using neural networks
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Application No.: US16945525Application Date: 2020-07-31
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Publication No.: US11663406B2Publication Date: 2023-05-30
- Inventor: Adam Bali
- Applicant: NetApp, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: NETAPP, INC.
- Current Assignee: NETAPP, INC.
- Current Assignee Address: US CA San Jose
- Agency: Haynes and Boone, LLP
- Main IPC: G06F40/284
- IPC: G06F40/284 ; G06F40/205 ; G06F40/253

Abstract:
A method, a computing device, and a non-transitory machine-readable medium for detecting personal information. Terms that are of interest are extracted from a corpus of raw text that has been extracted from a collection of documents. For each of the terms, a surrounding sentence is extracted to form a target sentence to thereby form a plurality of target sentences. The surrounding sentence includes at least one reference to a data subject. A matrix of feature information is generated for each of the target sentences to form a plurality of matrices. A neural network model is trained, using the matrices as input, to compute an output that indicates a likelihood of a given sentence containing personal information.
Public/Granted literature
- US20220036003A1 METHODS AND SYSTEMS FOR AUTOMATED DETECTION OF PERSONAL INFORMATION USING NEURAL NETWORKS Public/Granted day:2022-02-03
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