Welcome to the resource topic for 2022/1459
Title:
Circuit Privacy for FHEW/TFHE-Style Fully Homomorphic Encryption in Practice
Authors: Kamil Kluczniak
Abstract:A fully homomorphic encryption (FHE) scheme allows a client to encrypt and delegate its data to a server that performs computation on the encrypted data that the client can then decrypt. While FHE gives confidentiality to clients’ data, it does not protect the server’s input and computation. Nevertheless, FHE schemes are still helpful in building delegation protocols that reduce communication complexity, as FHE ciphertext’s size is independent of the size of the computation performed on them.
We can further extend FHE by a property called circuit privacy, which guarantees that the result of computing on ciphertexts reveals no information on the computed function and the inputs of the server. Thereby, circuit private FHE gives rise to round optimal and communication efficient secure two-party computation protocols. Unfortunately, despite significant efforts and much work put into the efficiency and practical implementations of FHE schemes, very little has been done to provide useful and practical FHE supporting circuit privacy. In this work, we address this gap and design the first randomized bootstrapping algorithm whose single invocation sanitizes a ciphertext and, consequently, servers as a tool to provide circuit privacy. We give an extensive analysis, propose parameters, and provide a C++ implementation of our scheme. Our bootstrapping can sanitize a ciphertext to achieve circuit privacy at an 80-bit statistical security level in 1.4 seconds. In addition, we can perform non-sanitized bootstrapping in around 0.14 seconds on a laptop without additional public keys. Crucially, we do not need to increase the parameters significantly to perform computation before or after the sanitization takes place. For comparison’s sake, we revisit the Ducas-Stehl'e washing machine method. In particular, we give a tight analysis, estimate efficiency, review old and provide new parameters.
ePrint: https://eprint.iacr.org/2022/1459
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