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
- NEWS
- Development, design, and semantics of programming languages Tenure track research position at CNRS
- Seminars
- 17 September 2026 Loup Lobet: Vir, an intermediate representation for simd text processing
- 26 November 2026 Basile Gros: Proxy-based small inversions for the rocq prover (Phd)
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
- Marius Bozga, Radu Iosif, Florian Zuleger: Regular Grammars for Sets of Graphs of Tree-Width 2
- Akram Idani, Yves Ledru, German Vega: Formal model-driven security combining B-method and process algebra: The B4MSecure platform
- 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