Utility-Embraced Microaggregation for Machine Learning Applications
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DOI: 10.1109/access.2022.3183201
Abstract: With access to vast amounts of data, privacy protection is more important than ever. Among various de-identification (anonymization) techniques, k-anonymous microaggregation has been widely studied since it enables us to balance between confidentiality and data… read more here.
Keywords: utility embraced; embraced microaggregation; machine learning; utility ... See more keywords