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
- Oussama Oulkaid, Bruno Ferres, Matthieu Moy, Pascal Raymond, Mehdi Khosravian: Modeling Techniques for the Formal Verification of Integrated Circuits at Transistor-Level: Performance vs. Precision Trade-offs
- 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
- 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
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