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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- 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
New publications
- Some Recent Publications
- 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
- Marius Bozga, Radu Iosif, Florian Zuleger: Regular Grammars for Sets of Graphs of Tree-Width 2
