Demo Data from EDBT 2026 / reviewers in the wild / expert
Koen de Boer
dblp:203/2793
· DBLP profile ↗
6ranked-venue papers
6as first author
2since 2021 · last 2026
0009-0001-2024-637XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 4 · 4 first-author · 1 since 2021Theory of computation · 2 · 2 first-author · 1 since 2021
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
2 papers |
Cryptographic primitives and cryptanalysis · 100% | |
| Theoretical computer science
2 papers |
Computational complexity · 70% Quantum computing and quantum information · 30% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis › post-quantum cryptography
lattice-based cryptography |
1.4 | 2 | 2026 | Average Hardness of SIVP for Module Lattices of Fixed Rank · STOC 2026 Random Self-reducibility of Ideal-SVP via Arakelov Random Walks · CRYPTO (2) 2020 |
Cryptographic primitives and cryptanalysis › post-quantum cryptography › lattice-based cryptography
module lattice |
1.0 | 1 | 2026 | Average Hardness of SIVP for Module Lattices of Fixed Rank · STOC 2026 |
Computational complexity
lattice problems |
1.0 | 1 | 2026 | Average Hardness of SIVP for Module Lattices of Fixed Rank · STOC 2026 |
Computational complexity › lattice problems
shortest vector problem |
1.0 | 1 | 2026 | Average Hardness of SIVP for Module Lattices of Fixed Rank · STOC 2026 |
Cryptographic primitives and cryptanalysis › post-quantum cryptography › lattice-based cryptography › shortest vector problem
ideal-SVP |
0.4 | 1 | 2020 | Random Self-reducibility of Ideal-SVP via Arakelov Random Walks · CRYPTO (2) 2020 |
Quantum computing and quantum information › quantum algorithms
hidden subgroup problem |
0.4 | 1 | 2020 | On the Quantum Complexity of the Continuous Hidden Subgroup Problem · EUROCRYPT (2) 2020 |
Quantum computing and quantum information
quantum complexity theory |
0.4 | 1 | 2020 | On the Quantum Complexity of the Continuous Hidden Subgroup Problem · EUROCRYPT (2) 2020 |
Methods — techniques the papers use, named apart from their topics
random walk · 0.4quantum algorithm · 0.4complexity theory · 0.4arakelov theory · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Quantumly Computing S-Unit Groups in Quantified Polynomial Time and Space
Koen de Boer, Joël Felderhoff |
CRYPTO (4) | 1 |
| 2026 | Average Hardness of SIVP for Module Lattices of Fixed RankabstractThe problem of finding short vectors in Euclidean lattices is a central hard problem in complexity theory. The case of module lattices (i.e., lattices which are also modules over a number ring) is of particular interest for cryptography and computational number theory. The hardness of finding short vectors in the asymptotic regime where the rank (as a module) is fixed is supporting the security of quantum-resistant cryptographic standards such as ML-DSA and ML-KEM. Koen de Boer, Aurel Page, Radu Toma, Benjamin Wesolowski |
STOC | 1 |
| 2020 | Random Self-reducibility of Ideal-SVP via Arakelov Random Walks
Koen de Boer, Léo Ducas, Alice Pellet-Mary, Benjamin Wesolowski |
CRYPTO (2) | 1 |
| 2020 | On the Quantum Complexity of the Continuous Hidden Subgroup Problem
Koen de Boer, Léo Ducas, Serge Fehr |
EUROCRYPT (2) | 1 |
| 2018 | Attacks on the AJPS Mersenne-Based Cryptosystem
Koen de Boer, Léo Ducas, Stacey Jeffery, Ronald de Wolf |
PQCrypto | 1 |
| 2017 | Calculating the Power Residue Symbol and Ibeta: Applications of Computing the Group Structure of the Principal Units of a p-adic Number Field CompletionabstractIn the recent PhD thesis of Bouw, an algorithm is examined that computes the group structure of the principal units of a p-adic number field completion. In the same thesis, this algorithm is used to compute Hilbert norm residue symbols. In the present paper, we will demonstrate two other applications. Koen de Boer, Carlo Pagano |
ISSAC | 1 |