3 papers
cs.CR2026
Improving DNS Exfiltration Detection via Transformer Pretraining
MiloÅ¡ TomiÄ, Aleksa CvetanoviÄ, Predrag TadiÄ
We study whether in-domain pretraining of Bidirectional Encoder Representations from Transformer (BERT) model improves subdomain-level detection of exfiltration at low false positi…
cs.CV2024
Engineering an Efficient Object Tracker for Non-Linear Motion
Momir AdžemoviÄ, Predrag TadiÄ, Andrija PetroviÄ +1
The goal of multi-object tracking is to detect and track all objects in a scene while maintaining unique identifiers for each, by associating their bounding boxes across video fram…
cs.CL2024
Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in Serbian
Aleksa CvetanoviÄ, Predrag TadiÄ
In this paper, we focus on generating a synthetic question answering (QA) dataset using an adapted Translate-Align-Retrieve method. Using this method, we created the largest Serbia…