2 papers
cs.LG2026
A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement Learning
Ardianto Wibowo, Paulo E Santos, Amer Baghdadi +3
Reinforcement learning (RL) systems often degrade when operating conditions differ from those previously encountered, reflecting distributional shifts in the underlying data-genera…
cs.NI2025
Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
Ali Diab, Adel Chehade, Edoardo Ragusa +4
This paper proposes a hardware-aware intrusion detection system (IDS) for Internet of Things (IoT) and Industrial IoT (IIoT) networks; it targets scenarios where classification is…