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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- Development, design, and semantics of programming languages Tenure track research position at CNRS
New publications
- Some Recent Publications
- 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
- 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
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm