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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Séminaires
- Séminaires
- 5 novembre 2026 Yann Kieffer: Fast and reliable exact real computations through functional programming.
- 12 novembre 2026 David Monniaux: L'existence d'invariants polyédriques est indécidable dans les systèmes linéaires
- 16 novembre 2026 Benjamin Bonneau: Propagation of semantic information in a verified compilation pipeline (Phd)
- 19 novembre 2026 Clement Chavanon: Barocq: a high-level programming language for efficient and verifiable embedded system (…)
- 25 novembre 2026 Dominique Larchey-wendling: Constructive substitutes for kőnig’s lemma
- 26 novembre 2026 Basile Gros: Petites inversions par proxy pour rocq (Phd)
Nouvelles publications
- Quelques Publications
Récentes
- 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
- Marius Bozga, Radu Iosif, Florian Zuleger: Iterating Non-Aggregative Structure Compositions
- Akram Idani, Yves Ledru, German Vega: Formal model-driven security combining B-method and process algebra: The B4MSecure platform
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