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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Séminaires
- Séminaires
- 15 octobre 2026 Antoine Besset: Monitoring ensembliste de stl : de la prediction de violation à la commande corrective (…)
- 12 novembre 2026 David Monniaux: L'existence d'invariants polyédriques est indécidable dans les systèmes linéaires
- 19 novembre 2026 Clement Chavanon: Barocq: a high-level programming language for efficient and verifiable embedded system (…)
- 26 novembre 2026 Basile Gros: Petites inversions par proxy pour rocq (Phd)
Nouvelles publications
- Quelques Publications
Récentes
- Bruno Ferres, Oussama Oulkaid, Matthieu Moy, Gabriel Radanne, Ludovic Henrio, Pascal Raymond, Mehdi Khosravian: A Survey on Transistor-Level Electrical Rule Checking of Integrated Circuits
- Marius Bozga, Radu Iosif, Florian Zuleger: Iterating Non-Aggregative Structure Compositions
- Marius Bozga, Radu Iosif, Arnaud Sangnier, Neven Villani: Counting Abstraction and Decidability for the Verification of Structured Parameterized Networks
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
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