Martin Mocko
Position: Malware clustering Using Machine Learning
Supervising team: Daniela Chudá (KInIT), Eset (industry partner)
Our research deals with clustering of samples in the malware domain utilizing primarily machine learning techniques. Our focus is on
1.) clustering evaluation and experiment methodology,
2.) the use of a larger number of clusters, and
3.) the use of deep clustering and contrastive learning in the domain.
The work is realized in cooperation with our industry partner, ESET.