Luca Demetrio is an Assistant Professor at the University of Genova (Italy), and previously he was Postdoctoral Researcher at PRA Lab. He received his bachelor, master and Ph.D. degree at the University of Genova in 2015, 2017 and 2021. His Ph.D. thesis, “Formalizing Evasion Attacks against Security Detectors”, revolves around the application of Adversarial Machine Learning against threat detectors, specifically how to fool Windows malware and SQL injections detectors by applying well-crafted noise to data. As a natural follow-up of his Ph.D. work, he is currently studying the security of Windows malware detectors implemented with Machine Learning techniques, and he is first author of two papers published in top-tiers journals (ACM TOPS, IEEE TIFS).
He is part of the development team of SecML, and also he has created and maintained SecML Malware, a Python library for creating adversarial Windows malware. He is also currently involved in the development of techniques that can improve the quality of the evaluation of machine learning models, by providing debugging tools that can spot the failures at attack time.
Research Interests: Cybersecurity, Machine Learning, Adversarial Machine Learning.
