Pierre-François Gimenez

Pierre-François Gimenez is a cybersecurity and machine learning researcher affiliated with the Laboratory Confidentiality, Integrity, Availability, Distribution. His work focuses on intrusion detection systems, malware analysis, and secure software design.

Research Interests:

• Secure programming languages resistant to injection attacks
• Anomaly detection in network environments
• Machine learning applications for cybersecurity
• Malware dataset validation and bias mitigation

Recent Publication Trends: His articles from 2025 demonstrate expertise in graph-based detection of advanced threats, synthetic network traffic generation, and robust malware detection frameworks. He also explores preference learning for recommendation systems in interactive configuration.