Bojan Kolosnjaji

According to our database1, Bojan Kolosnjaji authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Label-Efficient and Robust Learning from Multiple Experts.
Proceedings of the IEEE International Conference on Acoustics, 2023

2020
MANIS: evading malware detection system on graph structure.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Machine Learning for Anomaly Detection under Constraints.
PhD thesis, 2019

2018
Learning on a Budget for User Authentication on Mobile Devices.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Classifying malware attacks in IaaS cloud environments.
J. Cloud Comput., 2017

Empowering convolutional networks for malware classification and analysis.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017

Architecture for Resource-Aware VMI-based Cloud Malware Analysis.
Proceedings of the 4th Workshop on Security in Highly Connected IT Systems, 2017

2016
Adaptive Semantics-Aware Malware Classification.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

Deep Learning for Classification of Malware System Call Sequences.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
CloudIDEA: A Malware Defense Architecture for Cloud Data Centers.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

Neural Network-Based User-Independent Physical Activity Recognition for Mobile Devices.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015


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