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Author: Cynthia Dwork
Publisher:
ISBN: 9781601988188
Category : Computers
Languages : en
Pages : 286
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Book Description
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.
Author: Cynthia Dwork
Publisher:
ISBN: 9781601988188
Category : Computers
Languages : en
Pages : 286
Get Book
Book Description
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.
Author: Jeremy Feigelson
Publisher:
ISBN: 9781402431418
Category : Law
Languages : en
Pages : 584
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Book Description
Privacy Law Answer Book answers key questions related to the evolving collection, use, and storage of consumers' personal information. The Q&A-formatted guide makes clear sense of the patchwork of federal, state and international laws and regulations, with expert guidance on privacy policies, COPPA, financial privacy, medical privacy, and more. Edited by Jeremy Feigelson (Debevoise & Plimpton LLP), the Answer Book will help readers keep clients and companies one step ahead of the data privacy challenges of tomorrow.
Author: Colin J. Bennett
Publisher: Cornell University Press
ISBN: 9780801480102
Category : Computers
Languages : en
Pages : 284
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Book Description
The information revolution has brought with it the technology for easily collecting personal information about individuals, a facility that inherently threatens personal privacy. Colin J. Bennett here examines political responses to the data protection issue in four Western democracies, comparing legislation that the United States, Britain, West Germany, and Sweden forged from the late 1960's to the 1980's to protect citizens from unwanted computer dissemination of personal information. Drawing on an extensive body of interviews and documentary evidence, Bennett considers how the four countries, each with different cultural traditions and institutions, formulated fair information policy. He finds that their computer regulatory laws are based on strikingly similar statutory principles, but that enforcement of these principles varies considerably: the United States relies on citizen initiative and judicial enforcement; Britain uses a registration system; Germany has installed an ombudsman; and Sweden employs a licensing system. Tracing the impact of key social, political, and technological factors on the ways different political systems have controlled the collection and communication of information, Bennett also deepens our understanding of policymaking theory. Regulating Privacy will be welcomed by political sciences--especially those working in comparative public policy, American politics, organization theory, and technology and politics--political economists, information systems analysts, and others concerned with issues of privacy.
Author: Jaap-Henk Hoepman
Publisher: MIT Press
ISBN: 0262547201
Category : Computers
Languages : en
Pages : 275
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Book Description
An expert on computer privacy and security shows how we can build privacy into the design of systems from the start. We are tethered to our devices all day, every day, leaving data trails of our searches, posts, clicks, and communications. Meanwhile, governments and businesses collect our data and use it to monitor us without our knowledge. So we have resigned ourselves to the belief that privacy is hard--choosing to believe that websites do not share our information, for example, and declaring that we have nothing to hide anyway. In this informative and illuminating book, a computer privacy and security expert argues that privacy is not that hard if we build it into the design of systems from the start. Along the way, Jaap-Henk Hoepman debunks eight persistent myths surrounding computer privacy. The website that claims it doesn't collect personal data, for example; Hoepman explains that most data is personal, capturing location, preferences, and other information. You don't have anything to hide? There's nothing wrong with wanting to keep personal information--even if it's not incriminating or embarrassing--private. Hoepman shows that just as technology can be used to invade our privacy, it can be used to protect it, when we apply privacy by design. Hoepman suggests technical fixes, discussing pseudonyms, leaky design, encryption, metadata, and the benefits of keeping your data local (on your own device only), and outlines privacy design strategies that system designers can apply now.
Author: Marc Rotenberg
Publisher: New Press, The
ISBN: 1620971089
Category : Law
Languages : en
Pages : 210
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Book Description
The threats to privacy are well known: the National Security Agency tracks our phone calls; Google records where we go online and how we set our thermostats; Facebook changes our privacy settings when it wishes; Target gets hacked and loses control of our credit card information; our medical records are available for sale to strangers; our children are fingerprinted and their every test score saved for posterity; and small robots patrol our schoolyards and drones may soon fill our skies. The contributors to this anthology don't simply describe these problems or warn about the loss of privacy—they propose solutions. They look closely at business practices, public policy, and technology design, and ask, “Should this continue? Is there a better approach?” They take seriously the dictum of Thomas Edison: “What one creates with his hand, he should control with his head.” It's a new approach to the privacy debate, one that assumes privacy is worth protecting, that there are solutions to be found, and that the future is not yet known. This volume will be an essential reference for policy makers and researchers, journalists and scholars, and others looking for answers to one of the biggest challenges of our modern day. The premise is clear: there's a problem—let's find a solution.
Author: Daniel J. Solove
Publisher: Harvard University Press
ISBN: 0674972031
Category : Law
Languages : en
Pages : 234
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Book Description
Privacy is one of the most important concepts of our time, yet it is also one of the most elusive. As rapidly changing technology makes information increasingly available, scholars, activists, and policymakers have struggled to define privacy, with many conceding that the task is virtually impossible. In this concise and lucid book, Daniel J. Solove offers a comprehensive overview of the difficulties involved in discussions of privacy and ultimately provides a provocative resolution. He argues that no single definition can be workable, but rather that there are multiple forms of privacy, related to one another by family resemblances. His theory bridges cultural differences and addresses historical changes in views on privacy. Drawing on a broad array of interdisciplinary sources, Solove sets forth a framework for understanding privacy that provides clear, practical guidance for engaging with relevant issues. Understanding Privacy will be an essential introduction to long-standing debates and an invaluable resource for crafting laws and policies about surveillance, data mining, identity theft, state involvement in reproductive and marital decisions, and other pressing contemporary matters concerning privacy.
Author: Peter Swire
Publisher:
ISBN: 9781948771368
Category :
Languages : en
Pages :
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Book Description
Author: Helen Nissenbaum
Publisher: Stanford University Press
ISBN: 0804772894
Category : Law
Languages : en
Pages : 304
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Book Description
Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.
Author: Carissa Veliz
Publisher: Melville House
ISBN: 161219916X
Category : Social Science
Languages : en
Pages : 304
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Book Description
An Economist Book of the Year Every minute of every day, our data is harvested and exploited… It is time to pull the plug on the surveillance economy. Governments and hundreds of corporations are spying on you, and everyone you know. They're not just selling your data. They're selling the power to influence you and decide for you. Even when you've explicitly asked them not to. Reclaiming privacy is the only way we can regain control of our lives and our societies. These governments and corporations have too much power, and their power stems from us--from our data. Privacy is as collective as it is personal, and it's time to take back control. Privacy Is Power tells you how to do exactly that. It calls for the end of the data economy and proposes concrete measures to bring that end about, offering practical solutions, both for policymakers and ordinary citizens.
Author: Kenneth A. Bamberger
Publisher: MIT Press
ISBN: 0262552426
Category : Law
Languages : en
Pages : 353
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Book Description
An examination of corporate privacy management in the United States, Germany, Spain, France, and the United Kingdom, identifying international best practices and making policy recommendations. Barely a week goes by without a new privacy revelation or scandal. Whether by hackers or spy agencies or social networks, violations of our personal information have shaken entire industries, corroded relations among nations, and bred distrust between democratic governments and their citizens. Polls reflect this concern, and show majorities for more, broader, and stricter regulation—to put more laws “on the books.” But there was scant evidence of how well tighter regulation actually worked “on the ground” in changing corporate (or government) behavior—until now. This intensive five-nation study goes inside corporations to examine how the people charged with protecting privacy actually do their work, and what kinds of regulation effectively shape their behavior. And the research yields a surprising result. The countries with more ambiguous regulation—Germany and the United States—had the strongest corporate privacy management practices, despite very different cultural and legal environments. The more rule-bound countries—like France and Spain—trended instead toward compliance processes, not embedded privacy practices. At a crucial time, when Big Data and the Internet of Things are snowballing, Privacy on the Ground helpfully searches out the best practices by corporations, provides guidance to policymakers, and offers important lessons for everyone concerned with privacy, now and in the future.
