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This framework should be used as a basis for computing re-identification risk in order to more realistically evaluate future text de-identification tools.
This framework should be used as a basis for computing re-identification risk in order to more realistically evaluate future text de-identification tools.
We propose an evaluation framework that addresses these shortcomings.The framework is used to evaluate a de-identification tool on a corpus from the University ...
Results: We demonstrate how this framework compares against common measures of the re-identification risk associated with an automated text de-identification ...
A Unified Framework for Evaluating the Risk of Re-Identification of Text de-Identification Tools. Published in Journal of Biomedical Informatics, 2016.
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Jun 20, 2023 · In this work, we present a new theoretical framework to measure re-identification risk in such user representations.
Feb 18, 2020 · A unified framework for evaluating the risk of re-identification of text de-identification tools. J Biomed Inform. 2016;63:174–183. doi ...
Anonymeter is sensitive and able to identify and report even small amounts of privacy leaks. Although developed for the specific case of synthetic data, our.
Sep 8, 2023 · This document provides guidance on the selection, use, and evaluation of de-identification techniques for U.S. Government datasets. It also ...
Oct 20, 2022 · A unified framework for evaluating the risk of re- · identification of text de-identification tools. Journal of Biomedical Informatics, 63:174 ...
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