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.

In today's world of smart phones, smart grids, and smart cars, companies are collecting, storing, and sharing more information about consumers than ever before. Although companies use this information to innovate and deliver better products and services to consumers, they should not do so at the expense of consumer privacy. This book provides an overview for how companies can act now to implement best practices to protect consumers' private information. These best practices would include making privacy the "default setting" for commercial data practices and give consumers greater control over the collection and use of their personal data through simplified choices and increased transparency. Implementing these best practices will enhance trust and stimulate commerce.

Here are two "live" discussions by radical activists introducing the issues of movement security: u.s. activist and author J. Sakai & long-time Canadian organizer Mandy Hiscocks.

There are many books and articles reporting state repression, but not on that subject's more intimate relative, movement security. It is general practice to only pass along knowledge about movement security privately, in closed group lectures or by personal word-of-mouth. In fact, when new activists have questions about security problems, they quickly discover that there is no "Security for Dummies" to explore the basics. Adding to the confusion, the handful of available left security texts are usually about underground or illegal groups, not the far larger public movements that work on a more or less legal level.

During Montreal's 2013 Festival of Anarchy, J. Sakai gave a workshop about the politics of movement security, sharing the results of typical incidents of both the movement's successes and the movement's failures in combating the "political police" or state security agencies. He also discussed the nature of those state sub-cultures. This booklet contains a transcript of that talk, and of the subsequent lively question and answer period; along with several after-the-workshop observations by Sakai.

As he explains, "The key thing is, to start with, security is not about being macho vigilantes or having techniques of this or that. It's not some spy game. Security is about good politics. That's exactly why it's so difficult. But everyone will say that they have good politics. So this has to be broken down, this has to be explained." Which is what he does in this unusual talk.

Mandy Hiscocks comes at the topic from her personal experiences organizing against the 2010 G20 Summit in Toronto. In this in-depth interview, Hiscocks describes how her political scene and groups she worked with were infiltrated by undercover agents over a year before the summit even occurred. These police infiltrators provided information used in the prosecution of anti-Globalization organizers and participants. Hiscocks provides an honest and sobering appraisal of the practical challenge of State infiltration, and of how subsequent decisions played out in regards to the anti-G20 organizing and the repression that resulted. Hiscocks spent a year in prison as a result of these experiences, shortly after this interview was conducted.

"Two leading reputation experts reveal how the internet is being used to destroy brands, reputations and even lives, and how to fight back.
"From false Wikipedia entries, to fake YouTube videos, to Facebook lynch mobs, everyone from CEOs to fashion models, journalists to politicians, restaurateurs to doctors, is open to character assassination in the burgeoning realm of digital media.
Two top media experts recount vivid tales of character attacks, provide specific advice on how to counter them, and how to turn the tables on the attackers. Having spent decades preparing for and coping with these issues, Richard Torrenzano and Mark Davis share their secrets on dealing with problems at the top of today's news.
Torrenzano and Davis also take a step back to look at how the past might inform our future thinking about character assassination, from the slander wars between Thomas Jefferson and Alexander Hamilton, to predictions on what the end of privacy will mean for civilization.