Differential Privacy: From Theory to Practice, Ninghui Li, Min Lyu, Dong Su, Weining Yang

Автор: Robert E., Jr. O`Malley
Название: Singular Perturbation Methods for Ordinary Differential Equations
ISBN: 038797556X ISBN-13(EAN): 9780387975566
Издательство: Springer
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Цена: 130430.00 T
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Описание: Some portions have been used for short lecture series at Universidad Central de Venezuela, West Vir- ginia University, the University of Southern California, the University of California at Davis, East China Normal University, the University of Texas at Arlington, Universita di Padova, and the University of New Hampshire, among other places.

Автор: Balakumar Balachandran; Tam?s Kalm?r-Nagy; David E
Название: Delay Differential Equations
ISBN: 1441946691 ISBN-13(EAN): 9781441946690
Издательство: Springer
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Цена: 121890.00 T
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Описание: This is a cohesive set of contributions from leading experts on the theory and applications of functional and delay differential equations. The book focuses on theory, symbolic, and numerical methods, which show the practical applications of the concepts.

Автор: Robert E., Jr. O`Malley
Название: Singular Perturbation Methods for Ordinary Differential Equations
ISBN: 1461269687 ISBN-13(EAN): 9781461269687
Издательство: Springer
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Цена: 93160.00 T
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Описание: Some portions have been used for short lecture series at Universidad Central de Venezuela, West Vir- ginia University, the University of Southern California, the University of California at Davis, East China Normal University, the University of Texas at Arlington, Universita di Padova, and the University of New Hampshire, among other places.

Автор: Ninghui Li, Min Lyu, Dong Su, Weining Yang
Название: Differential Privacy: From Theory to Practice
ISBN: 1627054936 ISBN-13(EAN): 9781627054935
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
Наличие на складе: Невозможна поставка.
Описание: Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks.This Synthesis Lecture is the first of two volumes on differential privacy. This lecture differs from the existing books and surveys on differential privacy in that we take an approach balancing theory and practice. We focus on empirical accuracy performances of algorithms rather than asymptotic accuracy guarantees. At the same time, we try to explain why these algorithms have those empirical accuracy performances. We also take a balanced approach regarding the semantic meanings of differential privacy, explaining both its strong guarantees and its limitations.We start by inspecting the definition and basic properties of DP, and the main primitives for achieving DP. Then, we give a detailed discussion on the the semantic privacy guarantee provided by DP and the caveats when applying DP. Next, we review the state of the art mechanisms for publishing histograms for low-dimensional datasets, mechanisms for conducting machine learning tasks such as classification, regression, and clustering, and mechanisms for publishing information to answer marginal queries for high-dimensional datasets. Finally, we explain the sparse vector technique, including the many errors that have been made in the literature using it.The planned Volume 2 will cover usage of DP in other settings, including high-dimensional datasets, graph datasets, local setting, location privacy, and so on. We will also discuss various relaxations of DP.

Автор: Dwork, Cynthia Roth, Aaron
Название: Algorithmic foundations of differential privacy
ISBN: 1601988184 ISBN-13(EAN): 9781601988188
Издательство: Неизвестно
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Цена: 91040.00 T
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Описание: After motivating and discussing the meaning of differential privacy, this book focuses on fundamental techniques for achieving differential privacy, and application of these techniques in creative combinations, using the query-release problem as an example.

Автор: Tianqing Zhu; Gang Li; Wanlei Zhou; Philip S. Yu
Название: Differential Privacy and Applications
ISBN: 3319620029 ISBN-13(EAN): 9783319620022
Издательство: Springer
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Цена: 139750.00 T
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Описание: It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications.Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis.

Автор: Yao
Название: Uncertain Differential Equations
ISBN: 3662527278 ISBN-13(EAN): 9783662527276
Издательство: Springer
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Цена: 81050.00 T
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Описание: This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.

Автор: Gerasimos G. Rigatos
Название: Nonlinear Control and Filtering Using Differential Flatness Approaches
ISBN: 3319164198 ISBN-13(EAN): 9783319164199
Издательство: Springer
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Цена: 191560.00 T
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Описание: and* communication systems.Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.

Автор: Godfrey C. Onwubolu; Donald Davendra
Название: Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization
ISBN: 3662518929 ISBN-13(EAN): 9783662518922
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book, the first devoted entirely to the subject, presents in detail the various permutative-based combinatorial differential evolution formulations by their initiators in an easy-to-follow manner through numerous illustrations and computer code.

Автор: Anyong Qing; Ching Kwang Lee
Название: Differential Evolution in Electromagnetics
ISBN: 3662519208 ISBN-13(EAN): 9783662519202
Издательство: Springer
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Цена: 121890.00 T
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Описание: Differential evolution is a simple, yet very powerful, stochastic global optimizer. This book focuses on applications of differential evolution in electromagnetics, showcasing its effectiveness in solving synthesis and design problems in electromagnetics.

Автор: Raimo P. H?m?l?inen; Harri K. Ehtamo
Название: Differential Games — Developments in Modelling and Computation
ISBN: 3540537872 ISBN-13(EAN): 9783540537878
Издательство: Springer
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Цена: 81050.00 T
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Описание: The papers included in this volume aim to serve as a source of problem formulations and references for established researchers and newcomers to the field of dynamic game theory.

Автор: Vitaliy Feoktistov
Название: Differential Evolution
ISBN: 1441942343 ISBN-13(EAN): 9781441942340
Издательство: Springer
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Цена: 58650.00 T
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Описание: Individuals and enterprises are looking for optimal solutions for the problems they face. It offers comprehensive coverage on Differential Evolution, presenting revolutionary ideas in population-based optimization and shows the best known metaheuristics through the prism of Differential Evolution.