In recent years, the phenomenal growth of smartphones and apps running on them has raised significant privacy challenges. In part these challenges are due to the millions of apps created for these platforms, by thousands of developers, not all of whom can be trusted. While OS manufacturers do have review processes in place, often they fail to capture privacy leaks such as have come to light recently. For example, the Path app accessed and transmitted its users' address book, including names, email addresses and phone numbers, without permission. The use of this information could range from profiting from internet marketing scams, to detailed user tracking and other misuses. We believe that many such privacy invasions exist, and PMP provides the mechanisms to not only detect but also protect the user's privacy from rogue developers by degrading their ability to profit from this information.PMP relies on individuals to make the choices of what information should be protected or allowed. This information drives our crowd-sourced recommendation feature that provides an automated way of making these decisions. In order to do this the only information we receive are the decisions you make about protecting or allowing to enable this crowd-sourced feature. Right now we can protect your location, identity and contacts (Address Book) and music. Future versions will protect even more kinds of information.PMP has been developed at the University of California San Diego, and is freely available for use by anyone. The research project is a collaboration between Dr. Yuvraj Agarwal and Dr. Malcolm Hall. Yuvraj is a Research Faculty in the Computer Science and Engineering Department at UCSD and Malcolm is a Visiting Researcher in the same department. In case you are wondering what information we specifically collect, please see the Help . Note that providing your data is voluntary and you can decide whether or not you want to contribute your data inside the app. As academic researchers, we are interested in which apps access private information, studying the privacy decisions of users and the effectiveness of our recommendation engine. We reserve the right to publish the results of this study in academic research conferences. Please note, we take your privacy very seriously and therefor all data is anonymous, is transmitted securely over SSL and stored secrurely.