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
- Basile Pesin, Sylvain Boulmé, David Monniaux, Marie-Laure Potet: Formally Verified Hardening of C Programs against Hardware Fault Injection
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
- Marius Bozga, Radu Iosif, Arnaud Sangnier, Neven Villani: Counting Abstraction and Decidability for the Verification of Structured Parameterized Networks
- Erwan Jahier, Karine Altisen, Stéphane Devismes, Gabriel Baiocchi Sant'anna: Model checking of distributed algorithms using synchronous programs
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