Anonymization and Identifiability: Enhancing Data Protection Through Differential Privacy and Artificial Intelligence (Hardcover) (ISBN-13: 9783119142601)

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.

Author: Lauritz Gerlach
ISBN-10: 3119142603
ISBN-13: 9783119142601
Publisher: de Gruyter
Language: English
Published: 02/02/2026
Pages: 280
Format: Hardcover
Weight: 1.26lbs
Size: 9.21h x 6.14w x 0.69d