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Ouchebara Dyna Soumhane

Université de Mons - UMONS > Faculté des Sciences > Service d'Intelligence Artificielle

Main Referenced Co-authors
DUPONT, Stéphane  (3)
Main Referenced Keywords
Cybersecurity (2); Deep learning (2); Large language models (2); Software vulnerability detection (2); Source code analysis (2);
Main Referenced Disciplines
Computer science (4)

Publications (total 4)

The most downloaded
265 downloads
Ouchebara, D. S., & Dupont, S. (2025). Llama-Based Source Code Vulnerability Detection: Prompt Engineering vs Fine Tuning. In V. Nicomette (Ed.), Computer Security – ESORICS 2025 - 30th European Symposium on Research in Computer Security, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-032-07884-1_15 https://hdl.handle.net/20.500.12907/54591

The most cited

2 citations (Scopus®)

Ouchebara, D. S., & Dupont, S. (2025). Llama-Based Source Code Vulnerability Detection: Prompt Engineering vs Fine Tuning. In V. Nicomette (Ed.), Computer Security – ESORICS 2025 - 30th European Symposium on Research in Computer Security, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-032-07884-1_15 https://hdl.handle.net/20.500.12907/54591

Ouchebara, D. S., & Dupont, S. (2026). LLM-based Vulnerable Code Augmentation: Generate or Refactor? In In ESANN 2026 proceedings. Louvain-la-neuve, Belgium: i6doc. doi:10.14428/esann/2026.ES2026-374
Peer reviewed

Ouchebara, D. S., & Dupont, S. (2025). Llama-Based Source Code Vulnerability Detection: Prompt Engineering vs Fine Tuning. In V. Nicomette (Ed.), Computer Security – ESORICS 2025 - 30th European Symposium on Research in Computer Security, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-032-07884-1_15
Peer reviewed

Ouchebara, D. S. (12 September 2025). Llama-based vulnerability detection in source code: Prompt engineering vs Fine tuning [Poster presentation]. Summer School on Security and Privacy in the Age of AI, Louvain, Belgium.

Ouchebara, D. S., & Dupont, S. (29 May 2024). Deep learning based vulnerability detection in source code [Paper presentation]. Infortech Day 2024, Mons, Belgium.

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