Secrecy: Secure collaborative analytics on secret-shared data

Speaker

Ioannis Liagouris and Mayank Varia
Boston University

Host

Srini Devadas
CSAIL
Abstract: In this talk I will present Secrecy, a new relational framework for secure collaborative analytics. Secrecy is based on replicated secret sharing and allows composing and executing end-to-end oblivious queries under secure multi-party computation (MPC). Secrecy’s core novelty is a set of logical and physical optimizations that effectively reduce query execution costs while retaining the full security guarantees of MPC. We evaluate Secrecy using real and synthetic queries from several application areas. Our experiments demonstrate that the optimizations we propose can improve query performance by orders of magnitude, enabling Secrecy to outperform state-of-the-art frameworks and scale to much larger datasets than those reported in prior works.

Bio: John Liagouris is a research scientist at the Hariri Institute for Computing and an adjunct assistant professor at Boston University. His research interests lie in distributed systems and databases. Before joining BU, he was a visiting scholar at the RISELab, UC Berkeley, a senior researcher at the Systems Group, ETH Zurich, a visiting research fellow at the University of Hong Kong (HKU), and a research assistant at the “Athena” Research Center, Greece. John obtained his PhD from NTU Athens, Greece.

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