Colloquium

Education is increasingly mediated by technology, and is used by a wide array of learners from different age groups, socio-economic backgrounds and cultures. The proliferation of educational software provides new opportunities for using computational methods to support students in their learning process and teachers and researchers in their understanding of how students learn. This talk will identify several computational challenges within this context and present some initial solutions that synthesise approaches from artificial intelligence, HCI and data mining.

Secure Multi-party Computation (MPC) is one of the foundational achievements of modern cryptography, allowing multiple, distrusting, parties to jointly compute a function of their inputs, while revealing nothing but the output of the function.
Over the past two decades, the study of MPC has expanded to consider a wide variety of questions, including variants in the attack model, underlying assumptions, complexity and composability of the resulting protocols.