Kexin Chu
2 indexed papers
Research Timeline
The paper proposes the Layered Attack Surface Model (LASM), a structural taxonomy that maps security threats and defenses across the complex, multi-layered architecture of AI agents, revealing significant gaps in current research.
The paper proposes COWEAVER, a bidirectional, learnable and explainable algorithm for matching scientists and forming collaborations within a human-agent network.
Papers
CoWeaver: A Bi-directional, Learnable and Explainable Matching Engine for Mixed Human-Agent Science Collaboration
Jiayao Gu, Kexin Chu, Peidong Liu, Yue Yang +4 more
The paper proposes COWEAVER, a bidirectional, learnable and explainable algorithm for matching scientists and forming collaborations within a human-agent network.