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cs.CR2026
Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection
Florian Spelter, Johannes F. Loevenich, Tobias Hürten +4
Although Artificial Intelligence (AI)-based Intrusion Detection Systems (IDSs) are increasingly deployed in operational networks, their dependence on large-scale training data intr…
cs.CR2026
Autonomous Cyber Operations Gym for Training and Evaluating AI Models for Defence
Tobias Hürten, Johannes F. Loevenich, Florian Spelter +5
This paper proposes an Autonomous Cyber Operations (ACO) gym, a unified framework integrating high-fidelity network emulation, realistic user behaviour modelling for benign network…
cs.CR2026
AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses
Maxime Schwarzer, Johannes F. Loevenich, Gustavo Sánchez +5
Ensuring the protection of Artificial Intelligence (AI) models deployed in military Command and Control (C2) systems and critical infrastructure is essential for maintaining inform…