most citedThe Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses

Xingyu Li, Juefei Pu, Haonan Li +4

Automated kernel vulnerability reproduction is essential for bug triage, patch validation, and regression testing, but still lacks an effective and efficient solution. The core cha…

cs.DC2026

Scalable LLM Agent Tool Access in the Cloud

Mingxin Li, Enge Song, Yueshang Zuo +27

LLM agents increasingly rely on tool calling to act on external systems, and the Model Context Protocol (MCP) has quickly become its de facto interface. Operating MCP at cloud scal…

cs.CR2026

Formal Security Analysis of Agent Protocol Composition

Shenghan Zheng, Qifan Zhang, Zheng Zhang +2

AI agent protocols define how agents use tools, delegate work, and coordinate across software systems, but their security requirements remain incomplete and inconsistently enforced…

cs.SE2026

The Hitchhiker's Guide to Program Analysis, Part III: Mostly Harmless LLMs

Haonan Li, Tianyang Zhou, Manu Sridharan +2

Filtering out a static-analysis warning asserts that no feasible execution can trigger the reported error, whereas confirming a bug requires only one that does. Recent work uses LL…

cs.LG2025

LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline

Zheng Zhang, Haonan Li, Xingyu Li +2

Bug bisection has been an important security task that aims to understand the range of software versions impacted by a bug, i.e., identifying the commit that introduced the bug. Ho…

cs.SE2025★ 1 cited

The Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs

Haonan Li, Hang Zhang, Kexin Pei +1

Static analysis plays a crucial role in software vulnerability detection, yet faces a persistent precision-scalability tradeoff. In large codebases like the Linux kernel, tradition…