CRFeb 3, 2022

HECO: Fully Homomorphic Encryption Compiler

arXiv:2202.01649v329 citations
AI Analysis

This work solves the fundamental issue of automating program transformations for FHE, which is crucial for enabling broader and scalable deployment of FHE in practice.

The paper tackles the complexity of developing efficient Fully Homomorphic Encryption (FHE) applications by introducing HECO, a new end-to-end compiler that transforms high-level imperative programs into secure and efficient FHE implementations, addressing automation challenges beyond existing tools.

In recent years, Fully Homomorphic Encryption (FHE) has undergone several breakthroughs and advancements, leading to a leap in performance. Today, performance is no longer a major barrier to adoption. Instead, it is the complexity of developing an efficient FHE application that currently limits deploying FHE in practice and at scale. Several FHE compilers have emerged recently to ease FHE development. However, none of these answer how to automatically transform imperative programs to secure and efficient FHE implementations. This is a fundamental issue that needs to be addressed before we can realistically expect broader use of FHE. Automating these transformations is challenging because the restrictive set of operations in FHE and their non-intuitive performance characteristics require programs to be drastically transformed to achieve efficiency. Moreover, existing tools are monolithic and focus on individual optimizations. Therefore, they fail to fully address the needs of end-to-end FHE development. In this paper, we present HECO, a new end-to-end design for FHE compilers that takes high-level imperative programs and emits efficient and secure FHE implementations. In our design, we take a broader view of FHE development, extending the scope of optimizations beyond the cryptographic challenges existing tools focus on.

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