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
- 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: Iterating Non-Aggregative Structure Compositions
- Marius Bozga, Radu Iosif, Arnaud Sangnier, Neven Villani: Counting Abstraction and Decidability for the Verification of Structured Parameterized Networks