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Differential Privacy for Dynamic Data

This Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this;

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Algorithms for Data and Computation Privacy

This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption;

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Algorithms for Data and Computation Privacy

This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption;

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Big Data and Differential Privacy

practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;

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Privacy and Data Protection Law

Privacy and Data Protection Law introduces a dynamic and rapidly growing field of law that is also fun to teach. Beyond traditional topics;

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Privacy in Social Networks

to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally;

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Big Data Privacy Preservation for Cyber-Physical Systems

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS;

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Privacy for Location-based Services

generalization, cryptographic techniques or differential privacy. The most prominent results are discussed, and promising directions for future work are;

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Data Privacy

protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to;

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for;

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for;

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Risky Business

of personal privacy. This will provoke regulators to impose new rules limiting the use and disclosure of health data for secondary purposes, patients;

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Data Privacy and GDPR Handbook

The definitive guide for ensuring data privacy and GDPR compliance Privacy regulation is increasingly rigorous around the world and has;

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Synthetic Data for Deep Learning

data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into;

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Synthetic Data for Deep Learning

data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into;

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Introduction to Privacy-Preserving Data Publishing

information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for;

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Introduction to Privacy-Preserving Data Publishing

information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for;

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Privacy-Preserving in Edge Computing

, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge;

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Security and Privacy for Big Data, Cloud Computing and Applications

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and;

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Privacy in Dynamical Systems

first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic;

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Privacy in Dynamical Systems

first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic;

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Digital Health in Focus of Predictive, Preventive and Personalised Medicine

* Clinical Data Visualisation Standards - Security and privacy for e-health * Health data;

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Data Privacy

principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best;

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Privacy

. Topics discussed include the monitoring of privacy in the automobile insurance market; automated support for the auditing of personal data based;

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous;

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Differential Equations

automorphic solutions for some non-linear differential equations; positive solutions for p-laplacian dynamic delay differential equations on time;

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Privacy-Aware Knowledge Discovery

-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing;

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