Anonymization and Identifiability
Lauritz Gerlach
ISBN 10: 3119142603 ISBN 13: 9783119142601
Published by Walter De Gruyter Feb 2026, 2026
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Description:
Neuware -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. 264 pp. Englisch. Seller Inventory # 9783119142601
Synopsis:
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.
About the Author:
Lauritz Gerlach, Hamburg.
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Bibliographic Details
Title: Anonymization and Identifiability
Publisher: Walter De Gruyter Feb 2026
Publication Date: 2026
Binding: Buch
Condition: Neu