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De Gruyter Anonymization and Identifiability: Enhancing Data Protection Through Differential Privacy and Artificial Intelligence (Global and Comparative Data Law, 8)

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Description

The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of „identified or identifiable“ in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymization of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 February 2026
Listed Since
08 December 2025

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