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Bojan Kolosnjaji

Bojan Kolosnjaji



Research Interests

I do research in the area of machine learning and its applications in IT security, but also in designing robust machine learning systems.

I am currently participating in the SPARTA EU H2020 Project. Previously I was active in the IUNO project and the FORSEC research alliance.

Topics of special interest:

  • adversarial learning
  • anomaly detection under resource constraints
  • large-scale malware detection and analysis using machine learning methods (neural networks, topic modeling, kernel methods)
  • general machine learning, computer vision and natural language processing

I was a Program Commitee member of: 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention



2019 MANIS: Evading Malware Detection System on Graph Structure
2018 Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Learning on a Budget for User Authentication on Mobile Devices
2017 Spoilers: Effective Malware Triage Using Hidden Fields
Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage
Architecture for Resource-Aware VMI-based Cloud Malware Analysis
Empowering Convolutional Networks for Malware Classification and Analysis
2016 Deep Learning for Classification of Malware System Call Sequences
Adaptive Semantics-Aware Malware Classification
2015 Neural Network-Based User-Independent Physical Activity Recognition for Mobile Devices
CloudIDEA: A Malware Defense Architecture for Cloud Data Centers