Security, Cloud and Edge Lab

Security for machine learning and machine learning for security

This research area focuses on improving cyber security solutions based on machine learning, as well as to understand how attackers can take advantage of machine learning to compromise the security of their targets. Within this field, the main research activities are:

Identification and mitigation of adversarial attacks to cyber detectors based on machine learning

Automatizacion and self-adaptation of attack activities through machine learning

Cyber deception and other defenses powered by machine learning