Persons

Ing. Sebastián García, Ph.D.

head_person_supervisor

Ing. Maria Rigaki

Department of Computer Science

Attacs and Defences in Machine Learning Privacy

Ing. Ondřej Lukáš

Department of Computer Science

Towards Explainable Network Security

Dissertation topics

LLM (Large Language Models) for deception technologies

  • Branch of study: Computer Science – Department of Computer Science
  • Department: Department of Computer Science
    • Description:
      To research the applicability of LLM models in the creation of deception security technologies. In particular in relation to network attacks.

Machine Learning for Network Security

  • Branch of study: Computer Science – Department of Computer Science
  • Department: Department of Computer Science
    • Description:
      The topic is related with the problem of explaining machine learning in network security with adversarial distributed environments. It is common to take security decisions based on information coming from other peers in the network in a lot of environments, but it is hard to explain why we took some decisions and on which data our decision was based on. Moreover, it is hard to know how much of the decision was taken based on adversarial data. This is a common situation in network security decisions.

Responsible person Ing. Mgr. Radovan Suk