Invention Grant
- Patent Title: Anonymity assessment system
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Application No.: US16394136Application Date: 2019-04-25
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Publication No.: US10977389B2Publication Date: 2021-04-13
- Inventor: Oded Margalit , Dennis Potashnik
- 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
- Agent Alexis N. Hatzis
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06N20/00 ; G06K9/62 ; G06F16/35 ; G06K9/00

Abstract:
A method, computer system, and a computer program product for assessing anonymity of a dataset is provided. The present invention may include receiving an original dataset and an anonymized dataset. The present invention may also include preparing a testing dataset and a training dataset for a machine learning algorithm based on the received original dataset and anonymized dataset. The present invention may then include training a machine learning model based on the prepared training dataset. The present invention may further include generating an evaluation score based on the trained machine learning model and the prepared testing dataset. The present invention may also include presenting the generated evaluation score to a user.
Public/Granted literature
- US20190251291A1 ANONYMITY ASSESSMENT SYSTEM Public/Granted day:2019-08-15
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