Anonymization and Identifiability: Enhancing Data Protection Through Differential Privacy and Artificial Intelligence (Global and Comparative Data Law, 8)
Language: English
Published by De Gruyter, 2026
- Hardcover
- Used
Seller: Big River Books, Powder Springs, GA, U.S.A.Big River Books
AbeBooks seller since June 7, 2013
Condition: Used - Good
US$ 68.81
Quantity: 1 available
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This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Seller Inventory # BRV.3119142603.G
- Title
- Anonymization and Identifiability: Enhancing Data Protection Through Differential Privacy and Artificial Intelligence (Global and Comparative Data Law, 8)
- Author
- Gerlach, Lauritz
- Publisher
- De Gruyter
- Publication year
- 2026
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3119142603
- 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.
"Synopsis" may belong to another edition of this title.
About the Author
Lauritz Gerlach, Hamburg.
"About the title" may belong to another edition of this title.
Big River Books
Powder Springs, GA, U.S.A.
AbeBooks seller since June 7, 2013
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Big River Books, LLC
5001 McNeel Industrial Way
Powder Springs, GA U.S.A. 30127
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