7 papers
Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems
Zhonghao Zhan, Yefan Zhang, Hamed Haddadi
Edge-resident AI agents increasingly span home servers, IoT hubs, laptops, and phones, yet their coordination stacks still assume cloud-style transports or a central relay. We pres…
How Adversarial Environments Mislead Agentic AI?
Zhonghao Zhan, Huichi Zhou, Zhenhao Li +3
Tool-integrated agents are deployed on the premise that external tools ground their outputs in reality. Yet this very reliance creates a critical attack surface. Current evaluation…
Dynamic Probabilistic Noise Injection for Membership Inference Defense
Javad Forough, Hamed Haddadi
Membership Inference Attacks (MIAs) expose privacy risks by determining whether a specific sample was part of a model's training set. These threats are especially serious in sensit…
AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge Devices
Zhonghao Zhan, Amir Al Sadi, Krinos Li +1
In this work, we study security of Model Context Protocol (MCP) agent toolchains and their applications in smart homes. We introduce AegisMCP, a protocol-level intrusion detector.…
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…
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…