MC2: A Secure Collaborative Computation Platform

Multiple organizations often wish to aggregate their sensitive data and learn from it, but they cannot do so because they cannot share their data. For example, banks wish to train models jointly over their aggregate transaction data to detect money launderers because criminals hide their traces across different banks. To address such problems, my students and I developed MC2, a framework for secure collaborative computation. My talk will overview our MC2 platform, from the technical approach to results and adoption. Biography: Raluca Ada Popa is a computer security professor at UC Berkeley. She is a co-founder and co-director of the RISELab at UC Berkeley, where her research is on systems security and applied cryptography. She is also a co-founder and CTO of a cybersecurity startup called PreVeil. Raluca has received her PhD in computer science as well as her Masters and two BS degrees, in computer science and in mathematics, from MIT. She is the recipient of a Sloan Foundation Fellowship award, NSF Career, Technology Review 35 Innovators under 35, and a George M. Sprowls Award for best MIT CS doctoral thesis.