2 papers
cs.CR2026
Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety
Michele Guida, Ruslan Shikhhamzayev, Sindhuja Penchala +4
Large language models (LLMs) can be induced to produce harmful content through multi turn strategies in which no single user message appears clearly unsafe. Existing runtime safegu…
cs.CR2026
Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection
Jianli Dai, Guangwei Wu, Jiacheng Li +3
Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have been widely adopted in network intrusion detection sys…