Enhancing Data Protection Through Differential Privacy and Artificial Intelligence
Language: English
Published by De Gruyter, 2026
- Hardcover
- Used
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- Title
- Enhancing Data Protection Through Differential Privacy and Artificial Intelligence
- Author
- Gerlach, Lauritz
- Publisher
- De Gruyter
- Publication year
- 2026
- Condition
- As New
- 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.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
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