Privacy is a growing concern in our modern society. We interact and share our personal information with a wide variety of organizations, including financial and healthcare institutions, web service providers and social networks. Many times such personal information is inappropriately collected, used or shared, often without our awareness. This course introduces privacy in a broad sense, with the aim of providing students an overview of the challenging and emerging research topics in privacy.
This course will expose students to many of the issues that privacy engineers, program managers, researchers and designers deal with in industry. By the end of the course, students will learn about the following areas in privacy:
- Data privacy: the motivations for data privacy and common implementations (e.g., k-anonymity, differential privacy, information flow).
- Online privacy: online tracking and anonymous communication systems.
- Opportunities and implications of using AI/ML in privacy
- Side-channel threats
- Privacy acts: privacy regulations, framework and compliance/auditing tools.
- Usable privacy: perceptions of privacy, privacy attitudes, privacy preferences.