Summary
This project introduces a unified software stack for secure computation that integrates cryptographic and hardware-based techniques, each with its own unique strengths, challenges, and performance characteristics. The project’s novelties include (i) software abstractions and intermediate representations that allow reusing functionality across technologies and workloads, (ii) a distributed and fault-tolerant system runtime for secure data analysis pipelines, and (iii) a versatile performance modeling and optimization framework that integrates diverse cost metrics to efficiently deploy secure da
