Shell Language Processing: Unix command parsing for Machine Learning. - Dmitrijs Trizna (CoRR, 2021)

Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations. - Dmitrijs Trizna (AISec@CCS, 2022)

Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. - Dmitrijs Trizna; Luca Demetrio; Battista Biggio; Fabio Roli (CoRR, 2024)

Nebula: Self-Attention for Dynamic Malware Analysis. - Dmitrijs Trizna; Luca Demetrio; Battista Biggio; Fabio Roli (IEEE Trans. Inf. Forensics Secur., 2024)

Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples. - Matous Kozák; Luca Demetrio; Dmitrijs Trizna; Fabio Roli (Comput. Secur., 2025)

SLIFER: Investigating performance and robustness of malware detection pipelines. - Andrea Ponte; Dmitrijs Trizna; Luca Demetrio; Battista Biggio; Ivan Tesfai Ogbu; Fabio Roli (Comput. Secur., 2025)