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.
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Actualités
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ACTUALITÉS
- Développement, conception et sémantique des langages de programmation Chaire de professeur junior CNRS
- Séminaires
- 17 septembre 2026 Loup Lobet: Vir, an intermediate representation for simd text processing
- 26 novembre 2026 Basile Gros: Petites inversions par proxy pour rocq (Phd)
Séminaires
Nouvelles publications
- Quelques Publications
Récentes
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
- 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
- Akram Idani, Yves Ledru, German Vega: Formal model-driven security combining B-method and process algebra: The B4MSecure platform
- Erwan Jahier, Karine Altisen, Stéphane Devismes, Gabriel Baiocchi Sant'anna: Model checking of distributed algorithms using synchronous programs