Felix Mächtle
Felix Mächtle

Research Assistant/PhD Student

About Me

I am a research assistant/PhD student at the Institute for IT-Security at the University of Lübeck. I am intrigued by the intersection of machine learning and code analysis.

Interests
  • Machine Learning
  • Adversarial Attacks
  • Code Analysis
Education
  • PhD Student

    University of Lübeck

  • MSc in Computer Science

    University of Lübeck

  • BSc in Computer Science

    University of Lübeck

About Me

I am a researcher at the Institute for IT Security at the University of Lübeck, specializing in AI-driven program analysis and cybersecurity. My work spans machine learning, deep learning, and symbolic methods for understanding and securing software.

Please reach out to collaborate 😃

Recent Publications
(2025). AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution. To be published at SBFT 2025.
(2025). OCEAN: Open-World Contrastive Authorship Identification. To be published at ACNS 2025.
(2024). SWAT: Modular dynamic symbolic execution for java applications using dynamic instrumentation (competition contribution). International Conference on Tools and Algorithms for the Construction and Analysis of Systems.
(2023). Madvex: Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detection. International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment.