Demo Data from EDBT 2026 / reviewers in the wild / expert
Justine Sauvage
dblp:271/1296
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0006-2574-2256ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 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.
| Theoretical computer science
1 paper |
Logic in computer science · 77% Automated reasoning and model checking · 23% | |
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation
protocol verification |
0.8 | 1 | 2024 | Foundations for Cryptographic Reductions in CCSA Logics · CCS 2024 |
Logic in computer science › knowledge representation and reasoning › uncertainty reasoning
probabilistic logic |
0.8 | 1 | 2024 | Foundations for Cryptographic Reductions in CCSA Logics · CCS 2024 |
Automated reasoning and model checking › theorem proving
interactive theorem proving |
0.2 | 1 | 2024 | Foundations for Cryptographic Reductions in CCSA Logics · CCS 2024 |
Methods — techniques the papers use, named apart from their topics
cryptographic reduction · 1.5bi-deduction · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Foundations for Cryptographic Reductions in CCSA LogicsabstractThe Computationally Complete Symbolic Attacker (CCSA) approach to security protocol verification relies on probabilistic logics to reason about the interaction traces between a protocol and an arbitrary adversary. The proof assistant Squirrel implements one such logic. CCSA logics come with cryptographic axioms whose soundness derives from the security of standard cryptographic games, e.g. PRF, EUF, IND-CCA. Unfortunately, these axioms are complex to design and implement; so far, these tasks are manual, ad-hoc and error-prone. We solve these issues by providing a formal and systematic method for deriving axioms from cryptographic games. Our method relies on synthesizing an adversary against some cryptographic game, through the notion of bi-deduction. Concretely, we define a rich notion of bi-deduction, justify how to use it to derive cryptographic axioms, provide a proof system for bi-deduction, and an automatic proof-search method which we implemented in Squirrel. David Baelde, Adrien Koutsos, Justine Sauvage |
CCS | 3 |