Patent
Identification and personalized protection of text data using shapley values
03 Jun 2021
Abstract
Privacy, protection, and de-anonymization are issues of societal importance that are implicitly at the core of several key information systems, from electronic health records to online reviews. The system and method herein allows for an identification of an author of anonymous writing based on the text and structured data, subject to practical constraints on the intruder's amount of training data and effort using Shapley values.
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Details
- Title
- Identification and personalized protection of text data using shapley values
- Creators
- Matthew John Schneider - Drexel University, Decision Sciences (and Management Information Systems)Shawn Mankad - North Carolina State University
- Resource Type
- Patent
- Language
- English
- Patent
- US11983497B2; B2
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Identifiers
- 991021892515604721