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Dmitrijs Trizna
Dmitrijs Trizna
Microsoft Corporation
Dirección de correo verificada de microsoft.com
Título
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Año
Shell Language Processing: Unix command parsing for Machine Learning
D Trizna
In Proceedings of Conference on Applied Machine Learning from Information …, 2021
122021
Nebula: Self-Attention for Dynamic Malware Analysis
D Trizna, L Demetrio, B Biggio, F Roli
IEEE Transactions on Information Forensics and Security, 2024
82024
Quo Vadis: hybrid machine learning meta-model based on contextual and behavioral malware representations
D Trizna
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security …, 2022
82022
Adversarial robustness of hybrid machine learning architecture for malware classification
D Trizna
University of Helsinki, 2022
12022
SLIFER: Investigating performance and robustness of malware detection pipelines
A Ponte, D Trizna, L Demetrio, B Biggio, IT Ogbu, F Roli
Computers & Security 150, 104264, 2025
2025
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
M Kozak, L Demetrio, D Trizna, F Roli
arXiv preprint arXiv:2405.02646, 2024
2024
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation
D Trizna, L Demetrio, B Biggio, F Roli
arXiv preprint arXiv:2402.18329, 2024
2024
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Artículos 1–7