Iyiola Emmanuel Olatunji

Iyiola Emmanuel Olatunji

Postdoctoral Researcher. Secure code generation, LLM-based software engineering and security, Privacy, and graph neural networks.

I am a Postdoctoral Researcher in the TruX research group at SnT, University of Luxembourg, working with Tegawendé Bissyande and Jacques Klein. My research focuses on the security, privacy, and reliability of AI systems. I work on secure code generation, LLM-based software engineering and security, and privacy-preserving machine learning. I study how AI systems can generate insecure code, leak sensitive information, or be manipulated through adversarial prompts, and I develop methods to evaluate and defend these systems more rigorously. My work also investigates privacy risks and defenses in graph neural networks, graph-aware LLMs, and differentially private learning systems.

Previously, I worked with Adam Dziedzic and Franziska Boenisch at CISPA. I obtained my PhD from Leibniz University Hannover under the supervision of Wolfgang Nejdl and Megha Khosla.

Positions Held

  • 2025-present: Postdoctoral Researcher, TruX@SnT, University of Luxembourg
  • 2024-2025: Postdoctoral Researcher, CISPA, Germany
  • 2020-2024: Research Scientist, L3S Research Center, Germany
  • 2016-2017: Research Associate, Hong Kong Baptist University, Hong Kong
  • 2015-2016: Research Associate, Hong Kong Polytechnic University, Hong Kong

Education

  • PhD in Computer Science, Leibniz University Hannover, 2024
  • MPhil in Systems Engineering and Engineering Management, Chinese University of Hong Kong, 2020
  • MSc in Advanced Information Systems, Hong Kong Baptist University, 2015

Selected Awards and Honors

  • Best Student Paper, IEEE Trust, Privacy and Security in Intelligent Systems and Applications, 2021
  • Postgraduate Studentship Scholarship, Chinese University of Hong Kong, 2017-2019
  • High Distinction Scholarship, Hong Kong Baptist University, 2015
  • Distinction Scholarship, Hong Kong Baptist University, 2014
  • Corps Liaison Officer National Award, Nigeria, 2013

Selected Topics

  • Secure code generation
  • Large language models
  • Privacy and security for machine learning
  • Graph neural networks
  • Explainability and trustworthy AI
  • Health informatics
  • Social media mining