Specific details about publications, awards, patents, or projects are not provided.
Research Experience
Worked as a Security Researcher and Developer at PRODAFT; Research focuses on information leaks and adversarial behavior in modern AI, developing formal frameworks based on Differential Privacy, f-DP, and PAC privacy to understand and bound these effects; also works on adversarial and membership inference attacks on large language models to evaluate and strengthen their real-world resilience.
Education
BSc: Computer Science and Engineering from Sabancı University, Türkiye; MSc: Computer Security (cum laude) from Vrije Universiteit Amsterdam, exact dates not provided.
Background
Research Interests: at the intersection of security, privacy, and machine learning; Brief Introduction: a PhD student at CWI (Centrum Wiskunde & Informatica) in Amsterdam, supervised by Prof. Marten van Dijk. Focuses on building secure and privacy-preserving learning systems, combining theoretical analysis with practical engineering.