3 papers
cs.DC2026
DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
Davendra Maharaj, Tu Pham, Peter Meiring +4
Dynamic GNN inference exhibits strong capability to model interactions over time, such as complex particle collision events in High Energy Physics (HEP) experiments at High Luminos…
cs.AI2026
Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories
Kyungmin Park, Taesup Kim
Safety-aligned Large Language Models (LLMs) remain vulnerable to interventions during inference that redirect generation toward harmful outputs. Recent work attributes this to shal…
physics.ins-det2024
Anomaly Detection Based on Machine Learning for the CMS Electromagnetic Calorimeter Online Data Quality Monitoring
Abhirami Harilal, Kyungmin Park, Manfred Paulini
A real-time autoencoder-based anomaly detection system using semi-supervised machine learning has been developed for the online Data Quality Monitoring system of the electromagneti…