CyLab, School of Computer Science
Carnegie Mellon University
In today’s data-centric economy issues of privacy are becoming increasingly complex to manage. This is true for users who are often feeling helpless when it comes to understanding and managing the many different ways in which their data can be collected and used. But it is also true for developers, service providers, app store operators and regulators. A significant source of frustration has been the lack of progress in formalizing the disclosure of data collection and use practices. These disclosures today continue to primarily take the form of long privacy policies, which very few people actually read.
What if computers could actually understand the text of privacy policies? In this talk, I will report on our progress developing techniques to do just that and will discuss the development and piloting of tools that build on these technologies. This includes an overview of a compliance tool for mobile apps. The tool automatically analyzes the code of apps and compares its findings with disclosures made in the text of privacy policies to identify potential compliance violations. I will report on a study of about 18,000 Android apps. Results of the study suggest that compliance issues are widespread.
In the second part of this talk, I will discuss how using machine learning we can also build models of people’s privacy preferences and help them manage their privacy settings. This will include an overview of our work on Personalized Privacy Assistants. These assistants are intended to selectively notify their users about data collection and use practices they may find egregious and are also capable of helping their users configure available privacy settings. We will review results of a pilot involving one such assistant developed to help users manage their mobile app permissions. I will conclude with a discussion of ongoing work to extend this functionality in the context of Internet of Things scenarios.
July 25 2018
11:00 AM - 12:30 PM
Electrical and Computer Engineering
Summer undergraduate internship research symposium
Scott Hall, Marquis Room