most citedOpenPort Protocol: A Security Governance Specification for AI Agent Tool Access

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Runtime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents

Genliang Zhu, Chu Wang

Long-horizon tool-using AI agents create subgoals, replan, delegate work, and compose sibling results. Per-tool permission checks cannot establish that a changing goal graph remain…

cs.AI2026

Language-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol

Genliang Zhu, Chu Wang

Large language models incur language-dependent representation and inference costs, but existing comparisons often conflate input language, assigned observable-trace language, and a…

cs.PL2026

Authorization Revocation for Long-Running AI Agents: Root-Scoped Quiescence under Delegation and Asynchronous Execution

Genliang Zhu, Chu Wang

Long-running AI agents outlive initiating processes through credentials, delegated tasks, queues, callbacks, reservations, and provider-side operations. Cancellation, process exit,…

cs.AI2026

Explanation-Bound Tool Execution for AI Agents: Server-Verified Action Claims Without Trusting Model Rationales

Genliang Zhu, Chu Wang

Tool-using agents expose structured calls but commonly attach free-form rationales. Such rationales are neither authorization nor reliable introspection. We present Explanation-Bou…

cs.AI2026

Intent-Governed Tool Authorization for AI Agents

Genliang Zhu, Chu Wang

Tool-using AI agents commonly operate under integration credentials whose static permissions exceed a user's current request. We present Intent-Governed Access Control (IGAC), a se…

cs.CR2026★ 1 cited

OpenPort Protocol: A Security Governance Specification for AI Agent Tool Access

Genliang Zhu, Chu Wang, Ziyuan Wang +2

AI agents increasingly require direct, structured access to application data and actions, but production deployments still struggle to express and verify the governance properties…