BVSec develops cutting-edge artificial intelligence solutions for the automatic detection of software vulnerabilities and malware. Situated at the intersection of scientific research and industrial applications, the project leverages innovative binary file analysis techniques coupled with deep learning to enhance information system security. BVSec enables large-scale analysis efficiently, without the need to execute or decompile the code.
Navigation
Actualités
Séminaires
- Séminaires
- 5 novembre 2026 Yann Kieffer: Fast and reliable exact real computations through functional programming.
- 12 novembre 2026 David Monniaux: L'existence d'invariants polyédriques est indécidable dans les systèmes linéaires
- 16 novembre 2026 Benjamin Bonneau: Propagation of semantic information in a verified compilation pipeline (Phd)
- 19 novembre 2026 Clement Chavanon: Barocq: a high-level programming language for efficient and verifiable embedded system (…)
- 25 novembre 2026 Dominique Larchey-wendling: Constructive substitutes for kőnig’s lemma
- 26 novembre 2026 Basile Gros: Petites inversions par proxy pour rocq (Phd)
Nouvelles publications
- Quelques Publications
Récentes
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
- Marius Bozga, Radu Iosif, Arnaud Sangnier, Neven Villani: Counting Abstraction and Decidability for the Verification of Structured Parameterized Networks
- Erwan Jahier, Karine Altisen, Stéphane Devismes, Gabriel Baiocchi Sant'anna: Model checking of distributed algorithms using synchronous programs
- Iulia Dragomir, Carlos Redondo, Tiago Jorge, Laura Gouveia, Iulian Ober, Marius Bozga, Maxime Perrotin: Specification and model-checking of space systems in the TASTE toolset
Contact |
Plan du site |
Site réalisé avec SPIP 4.4.28 +
AHUNTSIC
[CC License]
info visites 56767771