Paper 2024/853

Accurate and Composable Noise Estimates for CKKS with Application to Exact HE Computation

Abstract

All RLWE-based FHE schemes are inherently noisy. The CKKS scheme (Cheon, Kim, Kim, Song, Asiacrypt 2017) considers the noise as a part of the message, yielding approximate computations but also considerable performance gains. Since it grows with each homomorphic operation and incurs a precision loss, it is paramount for users to be able to estimate the noise level throughout a given circuit in order to appropriately estimate parameters and control the precision loss in the message. In this work, we develop a noise model that allows for tight estimates of the precision loss, and propose a tool prototype for computing these estimates on any given circuit. Our noise model relies on a novel definition, the component-wise noise, which makes the average-case noise estimates tighter and more composable. As a result, our model and tool can derive accurate estimates of complex circuits such as bootstrapping. We experimentally demonstrate the tightness of our noise estimates by showing that our theoretical estimates never deviate by more than $0.01$ bits from experimental estimates, even for large circuits, and hold with high probability. Furthermore, we demonstrate how to apply our techniques to obtain an exact version of the CKKS scheme in which the decryption removes all the noise (with high probability). Such a scheme has many applications, as it allows to take advantage of the efficiency of CKKS, while preserving an exact message space, hence further strengthening CKKS against IND-CPA-D attacks.