Security and Privacy in Machine Learning and CPS

GOAL: Study on the security and privacy of machine learning models and other applications in IoT and cyber-physical systems. Mobile devices and cyber-physical systems (CPS) are equipped with numerous sensors which allow them to offer efficient and effective personalized services and applications.

Mobile Devices and IoT Systems Security

GOAL: Study of adversarial capabilities and development of novel defense strategies for smartphone and IoT systems. With smartphone penetration soaring and the rapid advancements in Internet connected devices, mobile and IoT device security guarantees are needed more than ever.

Authentication, Authorization and Access Control

GOAL: Study of effective and efficient authentication, authorization and access control mechanisms. Operating systems rely on authentication to verify that subjects (the users and programs) sharing the platform and OS resources are who they claim to be.