3 papers
cs.CR2025
Explainable and Resilient ML-Based Physical-Layer Attack Detectors
Aleksandra KnapiÅska, Marija Furdek
Detection of emerging attacks on network infrastructure is a critical aspect of security management. To meet the growing scale and complexity of modern threats, machine learning (M…
cs.NI2024
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
Omran Ayoub, Davide Andreoletti, Aleksandra KnapiÅska +6
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model levera…
cs.NI2024
Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series
Piotr Lechowicz, Aleksandra KnapiÅska, Adam WÅodarczyk +1
Traffic Weaver is a Python package developed to generate a semi-synthetic signal (time series) with finer granularity, based on averaged time series, in a manner that, upon averagi…