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
- 9 November 2026 Christine Rizkallah: Towards facilitating verification across language boundaries
- 12 November 2026 David Monniaux: The existence of polyhedral invariants is undecidable for linear systems
- 16 November 2026 Benjamin Bonneau: Propagation of semantic information in a verified compilation pipeline (Phd)
- 19 November 2026 Clement Chavanon: Barocq: a high-level programming language for efficient and verifiable embedded system (…)
- 25 November 2026 Dominique Larchey-wendling: Constructive substitutes for kőnig’s lemma
- 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
- 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
