Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning

Martin Mocko, Daniela Chudá

Malware clustering is a critical task in cybersecurity that helps discover threats and analyze evolving malware families. While self-supervised learning (SSL) and tabular represent…