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20242026
most citedMR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing

8 citations · 10 across the 7 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CR2026

Uncovering and Understanding Hidden Dependencies in the LLM API Reseller Ecosystem via Prefix-Cache Side Channels

Zimo Ji, Xin Wei, Congying Xu +5

LLM API resellers have become an important access layer to modern LLM services. However, multi-level resale creates an opaque supply chain: a user's request may traverse undisclose…

cs.CR2026

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware

Zimo Ji, Congying Xu, Zongjie Li +4

LLM coding agents increasingly rely on third-party agent skills from public marketplaces, which execute with the agent's privileges and create a software supply-chain attack surfac…

cs.SE2026

Coding Agents Are Guessing: Measuring Action-Boundary Violations in Underspecified DevOps Instructions

Zimo Ji, Zekai Zhang, Congying Xu +4

LLM coding agents are increasingly deployed to act autonomously on real production infrastructure. They execute shell commands, modify repositories, and call operational APIs. Howe…

cs.SE2026★ 1 cited

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis

Congying Xu, Hengcheng Zhu, Songqiang Chen +3

Metamorphic testing (MT) is a widely recognized technique for alleviating the oracle problem in software testing. However, its adoption is hindered by the difficulty of constructin…

cs.SE2026★ 1 cited

Towards Verifiably Safe Tool Use for LLM Agents

Aarya Doshi, Yining Hong, Congying Xu +3

Large language model (LLM)-based AI agents extend LLM capabilities by enabling access to tools such as data sources, APIs, search engines, code sandboxes, and even other agents. Wh…