Differential Privacy and Applications

• Main Authors: Zhu, Tianqing (Author), Li, Gang (Author), Zhou, Wanlei (Author), Yu, Philip S. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Advances in Information Security, 69
• Subjects: Computer science.; Computer security.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Systems and Data Security.; Privacy.; Artificial Intelligence (incl. Robotics).

This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement dif...

Table of Contents:

• Preliminary of Differential Privacy
• Differentially Private Data Publishing: Settings and Mechanisms
• Differentially Private Data Publishing: Interactive Setting
• Differentially Private Data Publishing: Non-interactive Setting
• Differentially Private Data Analysis
• Differentially Private Deep Learning
• Differentially Private Applications: Where to Start?
• Differentially Private Social Network Data Publishing
• Differentially Private Recommender System
• Privacy Preserving for Tagging Recommender Systems
• Differential Location Privacy
• Differentially Private Spatial Crowdsourcing
• Correlated Differential Privacy for Non-IID Datasets
• Future Directions.