Research output per year
Research output per year
Personal profile
Research Focus
Exploitable Vulnerabilities in Malware for Offensive Security in Detection Technology
Research Interests
Cyber Security and Artificial Intelligence
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Research output
- 1 Conference contribution
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PEVuln: a benchmark dataset for using machine learning to detect vulnerabilities in PE malware
Ross, N., Olukoya, O., Martinez-del-Rincon, J. & Carlin, D., 04 Aug 2024, (Accepted) Proceedings of the Conference on Applied Machine Learning for Information Security (CAMLIS 2024). IEEE XploreResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution