From the 2 of 19 linked papers with an AI index.
19 papers
AgentS4D: Benchmarking Runtime Risks across the Execution Lifecycle of LLM-Based Workspace Agents
Jiajun Zhou, Zhaoxuan Ke, Jihang Ye +3
The paper presents AgentS4D, a sandboxed benchmark that evaluates runtime safety risks of large language model‑based workspace agents throughout their execution lifecycle, using a…
MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair
Xuanze Chen, Xukang Xie, Wentao Fu +3
The paper presents MemSecBench, a benchmark that evaluates how malicious instructions can persist, be executed, and be repaired in agent memory systems across different memory and…
Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis
Jiajun Zhou, Changhui Sun, Wentao Fu +3
As adversaries increasingly weaponize encryption and protocol obfuscation to evade traffic detection, traditional methods are rendered obsolete, necessitating deep learning to unma…
ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
Zeyu Wang, Xin Zheng, Yao Lu +3
Few-shot molecular property prediction (FSMPP) is essential in drug discovery and materials design, where high-quality labeled data are often scarce and expensive to obtain. Despit…
Mapping Text to Multiplex Graph: Prompt Compression as Lévy Walk-Guided Graph Pruning
Yaxin Gao, Yao Lu, Jinhong Deng +7
Existing prompt compression methods treat text as flat token sequences, failing to capture the distributed nature of important information, which is often spread across multiple lo…
Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification
Jiajun Zhou, Yadong Li, Xuanze Chen +4
Mixture-of-Experts (MoE) architectures offer a scalable path for Graph Neural Networks (GNNs) in node classification tasks but typically rely on static and rigid routing strategies…