International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Luigi Russo

Publications

Year
Venue
Title
2025
EUROCRYPT
SNARKs for Virtual Machines are Non-Malleable
Cryptographic proof systems have a plethora of applications: from building other cryptographic tools (e.g., malicious security for MPC protocols) to concrete settings such as private transactions or rollups. In several settings it is important for proof systems to be non-malleable: an adversary should not to be able to modify a proof they have observed into another for a statement for which they do not know the witness. Proof systems that have been deployed in practice should arguably satisfy this notion: it is crucial in settings such as transaction systems and in order to securely compose proofs with other cryptographic protocols. As a consequence, results on non-malleability should keep up with designs of proofs being deployed. Recently, Arun et al. proposed Jolt (Eurocrypt 2024), the first efficient proof system whose architecture is based on the lookup singularity approach (Barry Whitehat, 2022). This approach consists of representing a general computation as a series of table lookups. The final result is a SNARK for a Virtual Machine execution (or SNARK VM). Both SNARK VMs and lookup-singularity SNARKs are architectures with enormous potential and will probably be adopted more and more in the next years (and they already are). As of today, however, there is no literature regarding the non-malleability of SNARK VMs. The goal of this work is to fill this gap by providing both concrete non-malleability results and a set of technical tools for a more general study of SNARK VMs security (as well as “modular” SNARKs in general). As a concrete result, we study the non-malleability of (an idealized version of) Jolt and its fundamental building block, the lookup argument Lasso. While connecting our new result on the non-malleability of Lasso to that of Jolt, we develop a set of tools that enable the composition of non-malleable SNARKs. We find this toolbox valuable in its own right.
2023
PKC
Almost Tightly-Secure Re-Randomizable and Replayable CCA-secure Public Key Encryption
Re-randomizable Replayable CCA-secure public key encryption (Rand-RCCA PKE) schemes guarantee security against chosen-ciphertext attacks while ensuring the useful property of re-randomizable ciphertexts. We introduce the notion of multi-user and multi-ciphertext Rand-RCCA PKE and we give the first construction of such a PKE scheme with an almost tight security reduction to a standard assumption. Our construction is structure preserving and can be instantiated over Type-1 pairing groups. Technically, our work borrows ideas from the state of the art Rand-RCCA PKE scheme of Faonio et al. (ASIACRYPT’19) and the adaptive partitioning technique of Hofheinz (EUROCRYPT’17). Additionally, we show (1) how to turn our scheme into a publicly-verifiable (pv) Rand-RCCA scheme and (2) that plugging our pv-Rand-RCCA PKE scheme into the MixNet protocol of Faonio et al. we can obtain the first almost tightly-secure MixNet protocol.
2023
TCC
From Polynomial IOP and Commitments to Non-malleable zkSNARKs
We study sufficient conditions to compile simulation-extractable zkSNARKs from information-theoretic interactive oracle proofs (IOP) using a simulation-extractable commit-and-prove system for its oracles. Specifically, we define simulation extractability for opening and evaluation proofs of polynomial commitment schemes, which we then employ to prove the security of zkSNARKS obtained from polynomial IOP proof systems. To instantiate our methodology, we additionally prove that KZG commitments satisfy our simulation extractability requirement, despite being naturally malleable. To this end, we design a relaxed notion of simulation extractability that matches how KZG commitments are used and optimized in real-world proof systems. The proof that KZG satisfies this relaxed simulation extractability property relies on the algebraic group model and random oracle model.