Muhammed Zahit Gök

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Anonymization-based privacy protection ensures that published data cannot be linked back to an individual. The most common approach in this domain is to apply generalizations on the private data in order to maintain a privacy standard such as k-anonymity or-diversity. While generalization-based techniques preserve truthfulness, relatively small output space(More)
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