The objective of the session is to provide an overview of "privacy research" within computer science and the way in which this research is instrumental for privacy engineering today.
Abstract For many developers, privacy is not a separate concept. It is often considered to be equivalent to security, or the responsibility of the legal department. The General Data Protection Regulation (GDPR) explicitly requires data protection by design. However, GDPR lacks detailed guidance on how to fulfill this requirement in applications. Thankfully, in the last decade, computer scientists have embarked upon research to develop technical privacy solutions to help fill this gap.
The objective of this talk is to provide an overview of "privacy research" within computer science. We explore how this research plays an instrumental role in privacy engineering today. Concretely, this talk highlights different concepts of privacy and demonstrates ways to address different pieces of the privacy problem through technical design. In particular, I will introduce three dominant research paradigms on privacy that are fundamental to building applications that attend to the privacy requirements of different stakeholders. Using this knowledge, you will be better positioned to build privacy-sensitive applications.
This session is intended for anyone building, designing or maintaining applications.
