Compiling to Preserve Our Privacy

· 98 words · 1 minute read

Move over data analytics, secure machine learning is here. As privacy becomes an increasingly important concern, so does the need to analyze data securely. Secure multi-party computation (MPC) is a promising solution that helps different entities collaborate in training ML models, while also keeping their data private.

For applications to truly scale, we need to implement models in a high-level language, abstracting away the low-level MPC details: we need a compiler! In this talk we describe the unique aspects of writing a compiler so that developers and data scientists need not be crypto experts.

slides [pdf] | video

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