VLDB 2026 Research / reviewers in the wild / expert
Luigi Russo 0001
dblp:37/7121-1
· DBLP profile ↗
6ranked-venue papers
0as first author
6since 2021 · last 2026
0000-0001-9869-786XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 6 · 6 since 2021Theory of computation · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Sumcheck-Based zkSNARKs are Non-malleable
Antonio Faonio, Luigi Russo 0001 |
CRYPTO (9) | 2 |
| 2026 | Fully-Adaptive Two-Round Threshold Schnorr Signatures from DDH
Paul Gerhart, Davide Li Calsi, Luigi Russo 0001, Dominique Schröder |
EUROCRYPT (2) | 3 |
| 2025 | Universally Composable SNARKs with Transparent Setup without Programmable Random Oracle
Christian Badertscher, Matteo Campanelli, Michele Ciampi, Luigi Russo 0001, Luisa Siniscalchi |
CRYPTO (7) | 4 |
| 2025 | SNARKs for Virtual Machines Are Non-malleable
Matteo Campanelli, Antonio Faonio, Luigi Russo 0001 |
EUROCRYPT (4) | 3 |
| 2024 | Real-World Universal zkSNARKs are Non-MalleableabstractSimulation extractability is a strong security notion of zkSNARKs that guarantees that an attacker who produces a valid proof must know the corresponding witness, even if the attacker had prior access to proofs generated by other users. Notably, simulation extractability implies that proofs are non-malleable and is of fundamental importance for applications of zkSNARKs in distributed systems. In this work, we study sufficient and necessary conditions for constructing simulation-extractable universal zkSNARKs via the popular design approach based on compiling polynomial interactive oracle proofs (PIOP). Our main result is the first security proof that popular universal zkSNARKs, such as PLONK and Marlin, as deployed in the real world, are simulation-extractable. Our result fills a gap left from previous work (Faonio et al. TCC'23, and Kohlweiss et al. TCC'23) which could only prove the simulation extractability of the "textbook" versions of these schemes and does not capture their optimized variants, with all the popular optimization tricks in place, that are eventually implemented and deployed in software libraries. Antonio Faonio, Dario Fiore 0001, Luigi Russo 0001 |
CCS | 3 |
| 2023 | From Polynomial IOP and Commitments to Non-malleable zkSNARKs
Antonio Faonio, Dario Fiore 0001, Markulf Kohlweiss, Luigi Russo 0001, Michal Zajac 0001 |
TCC (3) | 4 |