Demo Data from EDBT 2026 / reviewers in the wild / expert
Michele Minelli
dblp:179/6839
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Cryptographic primitives and cryptanalysis · 67% Cryptographic protocols and secure computation · 33% | |
| Artificial intelligence
1 paper |
Deep learning architectures and training · 100% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis
homomorphic encryption |
0.6 | 2 | 2018 | Fast Homomorphic Evaluation of Deep Discretized Neural Networks · CRYPTO (3) 2018 FHE Circuit Privacy Almost for Free · CRYPTO (2) 2016 |
Cryptographic primitives and cryptanalysis › homomorphic encryption
fully homomorphic encryption |
0.3 | 1 | 2018 | Fast Homomorphic Evaluation of Deep Discretized Neural Networks · CRYPTO (3) 2018 |
Cryptographic primitives and cryptanalysis › post-quantum cryptography
lattice-based cryptography |
0.3 | 1 | 2018 | Lattice-Based zk-SNARKs from Square Span Programs · CCS 2018 |
Cryptographic primitives and cryptanalysis
post-quantum cryptography |
0.3 | 1 | 2018 | Lattice-Based zk-SNARKs from Square Span Programs · CCS 2018 |
Cryptographic protocols and secure computation › proof systems
zero-knowledge proofs |
0.3 | 1 | 2018 | Lattice-Based zk-SNARKs from Square Span Programs · CCS 2018 |
Cryptographic protocols and secure computation › proof systems › zero-knowledge proofs › non-interactive zero-knowledge proofs
zk-SNARK |
0.3 | 1 | 2018 | Lattice-Based zk-SNARKs from Square Span Programs · CCS 2018 |
Machine learning › Deep learning architectures and training
neural network inference |
0.1 | 1 | 2018 | Fast Homomorphic Evaluation of Deep Discretized Neural Networks · CRYPTO (3) 2018 |
Cryptographic protocols and secure computation › proof systems
square span program |
0.1 | 1 | 2018 | Lattice-Based zk-SNARKs from Square Span Programs · CCS 2018 |
Methods — techniques the papers use, named apart from their topics
lattice assumptions · 0.3LWE · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Lattice-Based zk-SNARKs from Square Span ProgramsabstractZero-knowledge SNARKs (zk-SNARKs) are non-interactive proof systems with short and efficiently verifiable proofs. They elegantly resolve the juxtaposition of individual privacy and public trust, by providing an efficient way of demonstrating knowledge of secret information without actually revealing it. To this day, zk-SNARKs are being used for delegating computation, electronic cryptocurrencies, and anonymous credentials. However, all current SNARKs implementations rely on pre-quantum assumptions and, for this reason, are not expected to withstand cryptanalitic efforts over the next few decades. In this work, we introduce the first designated-verifier zk-SNARK based on lattice assumptions, which are believed to be post-quantum secure. We provide a generalization in the spirit of Gennaro et al. (Eurocrypt'13) to the SNARK of Danezis et al. (Asiacrypt'14) that is based on Square Span Programs (SSPs) and relies on weaker computational assumptions. We focus on designated-verifier proofs and propose a protocol in which a proof consists of just 5 LWE encodings. We provide a concrete choice of parameters as well as extensive benchmarks on a C implementation, showing that our construction is practically instantiable. Rosario Gennaro, Michele Minelli, Anca Nitulescu, Michele Orrù |
CCS | 2 |
| 2018 | Fast Homomorphic Evaluation of Deep Discretized Neural Networks
Florian Bourse, Michele Minelli, Matthias Minihold, Pascal Paillier |
CRYPTO (3) | 2 |
| 2016 | FHE Circuit Privacy Almost for Free
Florian Bourse, Rafaël Del Pino, Michele Minelli, Hoeteck Wee |
CRYPTO (2) | 3 |