2 papers
cs.CR2026
FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense
Chenyu Zhou, Yabin Peng, Wei Huang +3
Federated Graph Neural Networks (FedGNNs) are highly vulnerable to backdoor poisoning, yet existing defenses typically rely on rule-based approaches that lack semantic understandin…
cs.AI2025
AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems
Yun Piao, Hongbo Min, Hang Su +28
The rapid advancement of Large Language Models (LLMs) is catalyzing a shift towards autonomous AI Agents capable of executing complex, multi-step tasks. However, these agents remai…