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Privacy and Technologies of Identity
Privacy and Technologies of Identity: A Cross-Disciplinary Conversation provides an overview of ways in which technological changes raise privacy concerns. It then addresses four major areas of technology: RFID and location tracking technology; biometric technology, data mining; and issues with anonymity and authentication of identity. Many of the chapters are written with the non-specialist in mind, seeking to educate a diverse audience on the "basics" of the technology and the law and to point out the promise and perils of each technology for privacy. The material in this book provides an interface between legal and policy approaches to privacy and technologies that either threaten or enha...
Convolutional Neural Networks for Medical Image Processing Applications
The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contribu...
Medical Content-Based Retrieval for Clinical Decision Support
This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.
Handbook of Methodological Approaches to Community-based Research
The Handbook of Methodological Approaches to Community-Based Research is intended to aid the community-oriented researcher in learning about and applying cutting-edge quantitative, qualitative, and mixed methods approaches.
Multimedia Data Mining and Knowledge Discovery
This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.
Obfuscation
How we can evade, protest, and sabotage today's pervasive digital surveillance by deploying more data, not less—and why we should. With Obfuscation, Finn Brunton and Helen Nissenbaum mean to start a revolution. They are calling us not to the barricades but to our computers, offering us ways to fight today's pervasive digital surveillance—the collection of our data by governments, corporations, advertisers, and hackers. To the toolkit of privacy protecting techniques and projects, they propose adding obfuscation: the deliberate use of ambiguous, confusing, or misleading information to interfere with surveillance and data collection projects. Brunton and Nissenbaum provide tools and a rati...
Energy Efficiency and Robustness of Advanced Machine Learning Architectures
Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals. This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex m...
Strategy in Information and Influence Campaigns
Strategy in Information and Influence Campaigns sets out in comprehensive detail the underlying assumptions, unifying strategy, and panoply of tactics of the IIC, both from the perspective of the protagonist who initiates the action and from that of the target who must defend against it.
Privacy
Matters of privacy have profoundly changed since electronic storage of information has become the norm. Consequently, policy-makers and legislators are trying to keep up with privacy challenges in the workplace, in healthcare, in surveillance, and on social networking sites. With Privacy: Defending an Illusion, Martin Dowding fills a very important gap in policy analysis and the teaching of privacy issues at the senior undergraduate and early graduate student level. In the first section of this book, Dowding recounts historical interpretations of privacy in a wide variety of socio-cultural circumstances. In the second section, the author addresses how information and communication technologi...
The Privacy Fallacy
Our privacy is besieged by tech companies. Companies can do this because our laws are built on outdated ideas that trap lawmakers, regulators, and courts into wrong assumptions about privacy, resulting in ineffective legal remedies to one of the most pressing concerns of our generation. Drawing on behavioral science, sociology, and economics, Ignacio Cofone challenges existing laws and reform proposals and dispels enduring misconceptions about data-driven interactions. This exploration offers readers a holistic view of why current laws and regulations fail to protect us against corporate digital harms, particularly those created by AI. Cofone then proposes a better response: meaningful accountability for the consequences of corporate data practices, which ultimately entails creating a new type of liability that recognizes the value of privacy.
