Differential Privacy

Discover the essential principles of privacy in data analysis with Differential Privacy by Ninghui Li. Published by Springer International Publishing AG in 2016, this insightful paperback spans 124 pages, providing a comprehensive exploration of differential privacy (DP). Over the past decade, DP has become the gold standard in the realm of privacy-preserving data analysis and publishing. This book delves into the foundational concepts and applications of DP, making it an invaluable resource for researchers and practitioners alike. Whether you are new to the field or looking to deepen your understanding, Differential Privacy offers a professional and accessible guide to navigating the complexities of data privacy. Enhance your knowledge and stay at the forefront of privacy research with this authoritative text.