most citedMemento: Fine-tuning LLM Agents without Fine-tuning LLMs

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cs.CR2025

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack

Zhonghao Zhan, Huichi Zhou, Hamed Haddadi

Graph Neural Network (GNN)-based network intrusion detection systems (NIDS) are often evaluated on single datasets, limiting their ability to generalize under distribution drift. F…

cs.CR2025

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis

Zhonghao Zhan, Huichi Zhou, Hamed Haddadi

Graph Neural Networks (GNNs) show great promise for Network Intrusion Detection Systems (NIDS), particularly in IoT environments, but suffer performance degradation due to distribu…