Önder Askin

Önder Askin is a Research Assistant at Ruhr University Bochum's Institute of Statistics, specializing in differential privacy and statistical inference. His research develops frameworks for quantifying and verifying privacy guarantees in data analysis systems. Academic background includes a Master's in Mathematics from Ruhr University Bochum (2019).

Research establishes mathematical foundations for privacy preservation, particularly developing methods to evaluate Rényi differential privacy bounds in black-box settings. Publications address statistical quantification of privacy parameters and general-purpose auditing techniques. Current work advances f-Differential Privacy estimation methods for practical algorithm deployment.