Security And Privacy Aspects Of Noisy Data
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Security And Privacy Aspects Of Noisy Data
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Author : Stefan Katzenbeisser
language : en
Publisher:
Release Date : 2008
Security And Privacy Aspects Of Noisy Data written by Stefan Katzenbeisser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Security With Noisy Data
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Author : Pim Tuyls
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-24
Security With Noisy Data written by Pim Tuyls and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-24 with Computers categories.
Noisy data appear very naturally in applications where the authentication is based on physical identifiers. This book provides a self-contained overview of the techniques and applications of security based on noisy data. It provides a comprehensive overview of the theory of extracting cryptographic keys from noisy data, and describes applications in the field of biometrics, secure key storage, and anti-counterfeiting.
Proceedings Of World Conference On Artificial Intelligence Advances And Applications
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Author : Ashish Kumar Tripathi
language : en
Publisher: Springer Nature
Release Date : 2024-09-30
Proceedings Of World Conference On Artificial Intelligence Advances And Applications written by Ashish Kumar Tripathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22–23, 2024. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024
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Author : Yulin Wang
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024 written by Yulin Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Computers categories.
This is an Open Access book. 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI2024) will be held in Singapore (Online Participation is acceptable) during August 9-11, 2024. ICIAAI aims to provide a good forum for scientists, researchers, engineers and industrial practitioners throughout the world to present and discuss the latest technology advancement as well as future directions and trends in image, algorithms and artificial intelligence . The scope of ICIAAI 2024 covers research areas such as imaging, algorithms and artificial intelligence. Related fields of research include computer software, programming languages, software engineering, computer science applications, artificial intelligence, Intelligent data analysis, deep learning, high-performance computing, signal processing, information systems, computer graphics, computer-aided design, Computer vision, etc. The objectives of the conference are:The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in the research of image, algorithm and artificial intelligence to share scientific research results and cutting-edge technologies. It will be a perfect gathering to strengthen academic research and discussion, promote the development and progress of relevant research and application, and promote the development of disciplines and promote talent training.
Human Aspects Of Information Security Privacy And Trust
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Author : Louis Marinos
language : en
Publisher: Springer
Release Date : 2013-07-01
Human Aspects Of Information Security Privacy And Trust written by Louis Marinos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-01 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Human Aspects of Information Security, Privacy and Trust, HAS 2013, held as part of the 15th International Conference on Human-Computer Interaction, HCII 2013, held in Las Vegas, USA in July 2013, jointly with 12 other thematically similar conferences. The total of 1666 papers and 303 posters presented at the HCII 2013 conferences was carefully reviewed and selected from 5210 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 39 contributions was carefully reviewed and selected for inclusion in the HAS proceedings. The papers are organized in the following topical sections: novel authentication systems; human factors in security; security and privacy policies; and user centric security and privacy.
Introduction To Semi Supervised Learning
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Author : Xiaojin Zhu
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Introduction To Semi Supervised Learning written by Xiaojin Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines / Human Semi-Supervised Learning / Theory and Outlook
Ffit 2023
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Author : William Yeoh
language : en
Publisher: European Alliance for Innovation
Release Date : 2023-10-26
Ffit 2023 written by William Yeoh and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-26 with Computers categories.
This book contains the proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2023) held in Chongqing, China from July 7th to 9th, 2023. FFIT 2023 focuses on Economic statistics under big data, Financial risk control, Economic Modeling and Software Engineering, Accounting and Financial Information Systems, Innovative Supply Chain Financial Services and other fields. The aim of the conference is to provide a platform for experts, scholars, engineers, technicians and technical R&D personnel to share scientific research achievements and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements. We hope that this conference will continue to be held in the coming years, making it an ideal platform for people to share views and experiences in financial innovation and economic development and related areas. We would also like to thank the invited speakers for their valuable contributions and for sharing their perspectives during their speeches.
The Algorithmic Foundations Of Differential Privacy
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Author : Cynthia Dwork
language : en
Publisher:
Release Date : 2014
The Algorithmic Foundations Of Differential Privacy written by Cynthia Dwork and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
Handbook Of Research On Computational Forensics Digital Crime And Investigation Methods And Solutions
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Author : Li, Chang-Tsun
language : en
Publisher: IGI Global
Release Date : 2009-11-30
Handbook Of Research On Computational Forensics Digital Crime And Investigation Methods And Solutions written by Li, Chang-Tsun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-30 with Business & Economics categories.
"This book provides a media for advancing research and the development of theory and practice of digital crime prevention and forensics, embracing a broad range of digital crime and forensics disciplines"--Provided by publisher.
Sustainable Materials And Technologies In Vlsi And Information Processing
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Author : Shashi Kant Dargar
language : en
Publisher: CRC Press
Release Date : 2025-05-23
Sustainable Materials And Technologies In Vlsi And Information Processing written by Shashi Kant Dargar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
The International Conference on Sustainable Materials and Technologies in VLSI and Information Processing aimed to converge advancements in semiconductor technology with sustainable practices, addressing the critical need for eco-consciousness in the field of Very Large Scale Integration (VLSI) and Information Processing. The primary purpose of the conference was to explore innovative materials, manufacturing processes, and design methodologies that minimize environmental impact while optimizing performance and functionality in electronic devices. Key features of the conference included interdisciplinary discussions on sustainable materials such as biodegradable polymers, low-power semiconductor materials, and recyclable electronic components. Additionally, it focused on emerging technologies like quantum computing, neuromorphic computing, and photonic integrated circuits, exploring their potential contributions to sustainability in VLSI and information processing. The intended audience comprised of researchers, scientists, engineers, and industry professionals from academia, government, and private sectors involved in semiconductor technology, materials science, environmental sustainability, and information processing. What set this conference apart was its unique emphasis on sustainability within the realm of VLSI and information processing. While there are conferences focusing on either semiconductor technology or sustainability separately, this conference bridged the gap between the two, fostering discussions and collaborations that pave the way for greener and more efficient electronic devices and systems.