Differential Privacy and Applications (Advances in Information Security, 69)
by Gang Li, Philip S. Yu, Tianqing Zhu, Wanlei Zhou
This volume in the Advances in Information Security series examines differential privacy, a critical method for protecting data privacy in analysis and applications. Authored by experts Gang Li, Philip S. Yu, Tianqing Zhu, and Wanlei Zhou, it covers foundational principles and practical uses in information security, aiding professionals in developing robust privacy mechanisms.
About This Book
Differential Privacy and Applications is part of the Advances in Information Security series, volume 69. Authored by Gang Li, Philip S. Yu, Tianqing Zhu, and Wanlei Zhou, it addresses key concepts in privacy-preserving data handling.
The book focuses on differential privacy as a rigorous framework for safeguarding individual data in statistical queries and machine learning applications. It emphasizes balancing utility and privacy in information systems.
Readers will find discussions on theoretical foundations and real-world applications, making it a valuable resource for researchers and practitioners in data security.
This work contributes to the evolving field of secure data processing, highlighting advancements in privacy technologies.
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