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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Seminars
- Seminars
- 12 November 2026 David Monniaux: The existence of polyhedral invariants is undecidable for linear systems
- 19 November 2026 Clement Chavanon: Barocq: a high-level programming language for efficient and verifiable embedded system (…)
- 26 November 2026 Basile Gros: Proxy-based small inversions for the rocq prover (Phd)
New publications
- Some Recent Publications
- Akram Idani, Yves Ledru, German Vega: Formal model-driven security combining B-method and process algebra: The B4MSecure platform
- 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
- Marius Bozga, Radu Iosif, Arnaud Sangnier, Neven Villani: Counting Abstraction and Decidability for the Verification of Structured Parameterized Networks