Sebastian Szyller

Sebastian Szyller serves as an Assistant Professor in the Department of Computer Science at Aalto University, Finland, where he is a core member of Adjunct Professor N. Asokan's research group. His academic role centers on advancing security frameworks for machine learning systems through rigorous theoretical and empirical research.

His research expertise spans machine learning security, adversarial machine learning, and model ownership verification, with particular emphasis on defense mechanisms against model extraction attacks, unintended interactions among security measures, and intellectual property protection for AI models. Key contributions address the tension between model confidentiality and practical deployment requirements in real-world systems.

Analysis of his 2019-2024 publications reveals an evolving research trajectory from foundational model extraction defenses (e.g., PRADA, 2019) to sophisticated analyses of defense interactions (SoK, 2024) and ownership resolution frameworks (False Claims, 2024). His work consistently bridges theoretical security principles with practical ML deployment challenges, establishing critical benchmarks for model protection.

Dr. Szyller actively contributes to premier security venues including IEEE Symposium on Security and Privacy, USENIX Security Symposium, and AAAI conferences. His collaborations within Asokan's research group demonstrate strong interdisciplinary engagement in securing machine learning ecosystems, with recent work expanding into multimedia security and eCommerce fraud detection applications.