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
- Cybersécurité, sûreté et programmation Poste de Professeur⋅e des Universités Verimag/UGA
- Intelligence artificielle, sciences du logiciel, méthodes formelles Poste de Professeur⋅e des Universités Verimag/Grenoble-INP
Séminaires
Nouvelles publications
- Quelques Publications
Récentes
- 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
- 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
