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.
Browsing
News
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
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
- 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
- Marius Bozga, Radu Iosif, Florian Zuleger: Regular Grammars for Sets of Graphs of Tree-Width 2
- 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
