Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Justine Sauvage

dblp:271/1296 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
protocol verification
0.812024
Foundations for Cryptographic Reductions in CCSA Logics · CCS 2024
Logic in computer science › knowledge representation and reasoning › uncertainty reasoning
probabilistic logic
0.812024
Foundations for Cryptographic Reductions in CCSA Logics · CCS 2024
Automated reasoning and model checking › theorem proving
interactive theorem proving
0.212024
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
YearPublicationVenuePosition
2024 Foundations for Cryptographic Reductions in CCSA Logics
abstract
The 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
CCS3