Author

Martin Jurecek

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Preprint Aug 2026

Concept Drift Detection and Adaptive Retraining of Malware Classification Models

Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models for malware detection or classification are particularly susceptible to performance degradation caused by concept drift, as attackers constantly modif...

C. Chungata, Martin Jurecek, Katerina Potika et al. · 0 citations

Preprint Aug 2026

Image-Based Techniques and Ensemble Soft Voting for Malware Classification

In this chapter, we investigate image-based malware family classification using an ensemble learning framework and a soft voting strategy. We consider malware binaries that have been converted into images using eight distinct conversion strategies. Three complementary feature extraction tracks are applied to these imag...

S. Lokhande, Fabio Di Troia, Martin Jurecek et al. · 0 citations

Preprint Aug 2026

Neural Fingerprints for Malware Analysis: An Image-Based Metric Learning Approach with Application to Cross-Domain Classification

Identifying the family of a newly observed malware sample is a core task in threat intelligence, yet conventional classifiers must be retrained whenever a new family appears. This chapter develops an image-based metric learning approach that instead learns to extract discriminative neural fingerprints--fixed-length emb...

Manasa Deshagouni, Sayma Akther, Martin Jurecek et al. · 0 citations