Own Your Privacy PDF Download

Author: Wes Kussmaul
Publisher: PKI Press
ISBN: 9781931248082
Category : Computer security
Languages : en
Pages : 350

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Author: Robert W. Hahn
Publisher: Rowman & Littlefield
ISBN: 9780815717058
Category : Computers
Languages : en
Pages : 128

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Book Description
Can open source software—software that is usually available without charge and that individuals are free to modify—survive against the fierce competition of proprietary software, such as Microsoft Windows? Should the government intervene on its behalf? This book addresses a host of issues raised by the rapid growth of open source software, including government subsidies for research and development, government procurement policy, and patent and copyright policy. Contributors offer diverse perspectives on a phenomenon that has become a lightning rod for controversy in the field of information technology. Contributors include James Bessen (Research on Innovation), David S. Evans (National Economic Research Associates), Lawrence Lessig (Stanford University), Bradford L. Smith (Microsoft Corporation), and Robert W. Hahn (director, AEI-Brookings Joint Center).

Author: Jacob Morgan
Publisher: John Wiley & Sons
ISBN: 1118877241
Category : Business & Economics
Languages : en
Pages : 261

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Book Description
Throughout the history of business employees had to adapt to managers and managers had to adapt to organizations. In the future this is reversed with managers and organizations adapting to employees. This means that in order to succeed and thrive organizations must rethink and challenge everything they know about work. The demographics of employees are changing and so are employee expectations, values, attitudes, and styles of working. Conventional management models must be replaced with leadership approaches adapted to the future employee. Organizations must also rethink their traditional structure, how they empower employees, and what they need to do to remain competitive in a rapidly changing world. This is a book about how employees of the future will work, how managers will lead, and what organizations of the future will look like. The Future of Work will help you: Stay ahead of the competition Create better leaders Tap into the freelancer economy Attract and retain top talent Rethink management Structure effective teams Embrace flexible work environments Adapt to the changing workforce Build the organization of the future And more The book features uncommon examples and easy to understand concepts which will challenge and inspire you to work differently.

Author: Shanthi Kalathil
Publisher: Carnegie Endowment
ISBN: 087003331X
Category : Computers
Languages : en
Pages : 235

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Book Description
As the Internet diffuses across the globe, many have come to believe that the technology poses an insurmountable threat to authoritarian rule. Grounded in the Internet's early libertarian culture and predicated on anecdotes pulled from diverse political climates, this conventional wisdom has informed the views of policymakers, business leaders, and media pundits alike. Yet few studies have sought to systematically analyze the exact ways in which Internet use may lay the basis for political change. In O pen Networks, Closed Regimes, the authors take a comprehensive look at how a broad range of societal and political actors in eight authoritarian and semi-authoritarian countries employ the Internet. Based on methodical assessment of evidence from these cases—China, Cuba, Singapore, Vietnam, Burma, the United Arab Emirates, Saudi Arabia, and Egypt—the study contends that the Internet is not necessarily a threat to authoritarian regimes.

Author: J. Morris Chang
Publisher: Simon and Schuster
ISBN: 1617298042
Category : Computers
Languages : en
Pages : 334

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Book Description
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you’re done reading, you’ll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning applications need massive amounts of data. It’s up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you’ll need to secure your data pipelines end to end. About the Book Privacy-Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter. What’s Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Author J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Table of Contents PART 1 - BASICS OF PRIVACY-PRESERVING MACHINE LEARNING WITH DIFFERENTIAL PRIVACY 1 Privacy considerations in machine learning 2 Differential privacy for machine learning 3 Advanced concepts of differential privacy for machine learning PART 2 - LOCAL DIFFERENTIAL PRIVACY AND SYNTHETIC DATA GENERATION 4 Local differential privacy for machine learning 5 Advanced LDP mechanisms for machine learning 6 Privacy-preserving synthetic data generation PART 3 - BUILDING PRIVACY-ASSURED MACHINE LEARNING APPLICATIONS 7 Privacy-preserving data mining techniques 8 Privacy-preserving data management and operations 9 Compressive privacy for machine learning 10 Putting it all together: Designing a privacy-enhanced platform (DataHub)

Author: Samuel D. Brandeis, Louis D. Warren
Publisher: BoD – Books on Demand
ISBN: 3732645487
Category : Fiction
Languages : en
Pages : 42

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Book Description
Reproduction of the original: The Right to Privacy by Samuel D. Warren, Louis D. Brandeis

Author: Alan F. Westin
Publisher:
ISBN: 9781935439974
Category : Law
Languages : en
Pages : 0

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Book Description
A landmark text on privacy in the information age.

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: Jack Norton
Publisher: Norton Family Media
ISBN:
Category : House & Home
Languages : en
Pages : 45

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Book Description
Do you want to take back your life and be more safe and secure? Do you dream of having strong privacy online and in your everyday life? This book will show you how. The Successful Privacy Mindset is for anyone that has ever felt watched, ever felt that their privacy has been compromised or for anyone that has ever felt less than safe and secure. You deserve to feel safe at all times! If you are a survivor of an assault, rape, mugging, stalker, identity theft, home invasion or any other ugliness - there will be ideas in this book that will make you feel safe. One of the most troubling things about crime is that the victim can feel the scars for years and years afterwards. My goal for readers of this book is to help switch you out of the victim mindset and into the survivor mindset. Take back your life. I know you can. You deserve to feel safe at all times! After dealing with a stalker who tormented me for several years I finally decided enough was enough! I made a vow I would take back my life and that started with my privacy. Over the years I became an expert and made a new life for myself - one built on the principals of privacy and security. I used many of the same secret techniques used in the Witness Protection Program as well as additional precautions so I would never be a victim again. In this book I will teach you all the tips and tricks you need to know to stay safe and regain your privacy. These tools will keep you invisible from potential stalkers and criminals. I am not in law enforcement nor do I have a military background. I am simply a law abiding citizen that wanted to take control of their life - so I became a warrior for my freedom. I learned how to be a master of privacy both online and in my everyday life, and now I will show you what to do to stay safe too. Every tip in this book may not apply to every reader, but I can guarantee that if you follow even a few of the simple steps I have outlined here, you will be safer than 99% of your peers. Here are just a few of the chapters in this book: • Safety In The Shadows - The Ultimate Goal: Invisibility • Privacy Is Freedom • The Levels Of Privacy • Anonymity Is Essential • Basic Privacy Tips • Stalkers Are Sick, Assume The Worst • The Gray Rock Always Wins - You Must Be Forgettable • How To Build The New You • Predictability Is The Enemy • Document The Threat You Are Under • Consider Your Proof Of Life • Your Future Depends On Your Past • Privacy Tips For Banking And Finances • Privacy Tips For Housing And Utilities • Privacy Tips For Transportation • Your New Digital Life • Privacy Tips For Phones, Computers And More • Privacy Tips For Social Media • How To Beat Facial Recognition • Privacy Tips For Email, Physical Mail And A Ghost Address • Build Your Own Safe-house • Sanctuary In Deception • Consider Multiple Identities • Practical Preparedness: Be Ready At All Times • On Person Essentials • Your Everyday Carry Kit • Your Bug Out Back • Making Money Anonymously • Building A Secret Business • Tips To Create A Secret LLC • Streams Flow Into Rivers: Money Sources ...and so much more! This book makes a great gift as well.

Author: Anita L. Allen
Publisher:
ISBN:
Category :
Languages : en
Pages : 9

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Book Description
Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply for a job online, research a topic on Google, or post on Facebook.Privacy advocates and civil libertarians say Big Data amounts to digital surveillance that potentially results in unwanted personal disclosures, identity theft, and discrimination in contexts such as employment, housing, and financial services. These advocates and activists say typical consumers and internet users do not understand the extent to which their activities generate data that is being collected, analyzed, and put to use for varied governmental and business purposes.I have argued elsewhere that individuals have a moral obligation to respect not only other people's privacy but also their own. Here, I wish to comment first on whether the notion that individuals have a moral obligation to protect their own information privacy is rendered utterly implausible by current and likely future Big Data practices; and on whether a conception of an ethical duty to self-help in the Big Data context may be more pragmatically framed as a duty to be part of collective actions encouraging business and government to adopt more robust privacy protections and data security measures.