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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- Some Recent Publications
- Karine Altisen, Marius Bozga: Revisited Convergence of a Self-stabilizing BFS Spanning Tree Algorithm
- Marius Bozga, Radu Iosif, Florian Zuleger: Regular Grammars for Sets of Graphs of Tree-Width 2
- 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
- Oussama Oulkaid, Bruno Ferres, Matthieu Moy, Pascal Raymond, Mehdi Khosravian: Modeling Techniques for the Formal Verification of Integrated Circuits at Transistor-Level: Performance Versus Precision Tradeoffs