| 2023 | ICASSP | Label-Efficient and Robust Learning from Multiple Experts. | Bojan Kolosnjaji, Apostolis Zarras |
| 2020 | SAC | MANIS: evading malware detection system on graph structure. | Peng Xu, Bojan Kolosnjaji, Claudia Eckert, Apostolis Zarras |
| 2018 | ICASSP | Learning on a Budget for User Authentication on Mobile Devices. | Bojan Kolosnjaji, Antonia Hufner, Claudia Eckert, Apostolis Zarras |
| 2017 | DAIS | Architecture for Resource-Aware VMI-based Cloud Malware Analysis. | Benjamin Taubmann, Bojan Kolosnjaji |
| 2017 | DIMVA | Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage. | George D. Webster, Bojan Kolosnjaji, Christian von Pentz, Julian Kirsch, Zachary D. Hanif, Apostolis Zarras, Claudia Eckert |
| 2017 | IJCNN | Empowering convolutional networks for malware classification and analysis. | Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert |
| 2016 | DIMVA | Adaptive Semantics-Aware Malware Classification. | Bojan Kolosnjaji, Apostolis Zarras, Tamas K. Lengyel, George D. Webster, Claudia Eckert |
| 2015 | IDEAL | Neural Network-Based User-Independent Physical Activity Recognition for Mobile Devices. | Bojan Kolosnjaji, Claudia Eckert |