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Home/Authors/Iakovos-Christos Zarkadis

Iakovos-Christos Zarkadis

2 indexed papers

Recent (6 mo)
2
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Publications per year

2
26

Top categories

Crypto×2ML×1Stats Comp.×1AI×1Stats Apps×1Stats ML×1

Frequent co-authors

Christos Douligeris2×

Research Timeline

2026
Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation

This paper proposes a comprehensive framework for network intrusion detection using unified multi-modal datasets and evaluates advanced adversarial learning methods for generating high-fidelity synthetic data.

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles

This paper develops and analyzes various ensemble models, culminating in an XGBoost-based system, to reliably detect UAV intrusions using XAI and advanced statistical methods to pinpoint the root causes of false predictions.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.LGstat.CORecentMay 13, 2026

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles

Iakovos-Christos Zarkadis, Christos Douligeris

This paper develops and analyzes various ensemble models, culminating in an XGBoost-based system, to reliably detect UAV intrusions using XAI and advanced statistical methods to pinpoint the root caus…

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cs.CRcs.AIstat.APRecentMar 18, 2026

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation

Iakovos-Christos Zarkadis, Christos Douligeris

This paper proposes a comprehensive framework for network intrusion detection using unified multi-modal datasets and evaluates advanced adversarial learning methods for generating high-fidelity synthe…

View →