Bojan Kolosnjaji
Bojan Kolosnjaji
Alumni
E-Mail: | 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
Teaching
- Summer semester 2019
Summer semester 2018
Winter semester 2017/2018- Seminar: Large-Scale Malware Analysis
Winter semester 2016/2017- Practical Course: Anomaly Detection Challenges
Summer semester 2016- Seminar: Large-Scale Malware Analysis
- Winter semester 2015/2016
- Practical Course: Anomaly Detection Challenges
- Summer semester 2015
Publications
2019 | MANIS: Evading Malware Detection System on Graph Structure
The 35th ACM/SIGAPP Symposium On Applied Computing |
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2018 | Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Proceedings of the European Signal Processing Conference (EUSIPCO 2018) |
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Learning on a Budget for User Authentication on Mobile Devices
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018) |
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2017 | Spoilers: Effective Malware Triage Using Hidden Fields
Microsoft DCC |
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Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage
14th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA) |
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Architecture for Resource-Aware VMI-based Cloud Malware Analysis
4th Workshop on Security in highly connected IT systems |
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Empowering Convolutional Networks for Malware Classification and Analysis
30th International Joint Conference on Neural Networks (IJCNN) |
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2016 | Deep Learning for Classification of Malware System Call Sequences
29th Australasian Joint Conference on Artificial Intelligence (AI) |
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Adaptive Semantics-Aware Malware Classification
13th Conference on Detection of Intrusions and Malware \& Vulnerability Assessment (DIMVA) |
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2015 | Neural Network-Based User-Independent Physical Activity Recognition for Mobile Devices
Intelligent Data Engineering and Automated Learning--IDEAL 2015 |
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CloudIDEA: A Malware Defense Architecture for Cloud Data Centers
5th International Symposium on Cloud Computing, Trusted Computing and Secure Virtual Infrastructures - Cloud and Trusted Computing (C&TC 2015) |