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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- NEWS
- 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
Seminars
New publications
- Some Recent Publications
- 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
- 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
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
Jobs and internships
- Jobs and internships
- Poste de Professeur⋅e des Universités Verimag/Grenoble-INP
- Poste de Professeur⋅e des Universités Verimag/UGA
- [PostDoc] Implementation of critical applications on multi-core: execution mode analysis to reduce interferences
- [Thèse] Contre-mesures logicielles “flot de données” pour la sécurité de bout-en-bout