Yigitcan Kaya

I am a Ph.D. candidate in Computer Science at University of Maryland College Park, advised by Prof. Tudor Dumitras. My research interests span the areas of machine learning (ML) for security and adversarial machine learning, with an emphasis on bridging between these two fields. In the past, I identified a common pathology of deep neural networks and coined the term overthinking, developed realistic threat models against ML systems, such as inconspicuous poisoning attacks, and studied the feasibility of practical defenses to make ML models more private. My work has garnered press interest by popular outlets such as VentureBeat and MIT Tech Review. Nowadays, I'm applying my expertise to make ML models more robust, secure and reliable in security applications, such as malware detection.