Cover Image

LLMs as Firmware Experts: A Runtime-Grown Tree-of-Agents Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiangrui, Chen, Zeyu, Wang, Haining, Li, Qiang
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoFirm: Automatically Identifying Reused Libraries inside IoT Firmware at Large-Scale
by: Chen, YongLe, et al.
Published: (2024)

FirmReBugger: A Benchmark Framework for Monolithic Firmware Fuzzers
by: Duong, Mathew, et al.
Published: (2026)

An Analysis of Malicious Packages in Open-Source Software in the Wild
by: Zhou, Xiaoyan, et al.
Published: (2024)

Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
by: Zhang, Ying, et al.
Published: (2024)

Implicit Patterns in LLM-Based Binary Analysis
by: Li, Qiang, et al.
Published: (2026)

Stop Starving or Stuffing Me: Boosting Firmware Fuzzing Efficiency with On-demand Input Delivery
by: Shen, Shandian, et al.
Published: (2026)

Trim My View: An LLM-Based Code Query System for Module Retrieval in Robotic Firmware
by: Arasteh, Sima, et al.
Published: (2025)

A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems
by: Zhou, Xiaoyan, et al.
Published: (2024)

RVDebloater: Mode-based Adaptive Firmware Debloating for Robotic Vehicles
by: Salehi, Mohsen, et al.
Published: (2026)

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
by: Farrelly, Guy, et al.
Published: (2026)

AgentGuard: A Multi-Agent Framework for Robust Package Confusion Detection via Hybrid Search and Metadata-Content Fusion
by: Li, Yu, et al.
Published: (2026)

Classport: Designing Runtime Dependency Introspection for Java
by: Cofano, Serena, et al.
Published: (2025)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
by: Han, Junxiao, et al.
Published: (2025)

CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
by: Wang, Hao, et al.
Published: (2024)

ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
by: Suo, Dewen, et al.
Published: (2024)

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages
by: Guo, Wenbo, et al.
Published: (2026)

MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)

Uncovering EDK2 Firmware Flaws: Insights from Code Audit Tools
by: Farahani, Mahsa, et al.
Published: (2024)

GoLeash: Mitigating Golang Software Supply Chain Attacks with Runtime Policy Enforcement
by: Cesarano, Carmine, et al.
Published: (2025)

MCP-SandboxScan: WASM-based Secure Execution and Runtime Analysis for MCP Tools
by: Tan, Zhuoran, et al.
Published: (2026)

Towards Agentic Runtime Healing
by: Sun, Zhensu, et al.
Published: (2024)

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference
by: Zhang, Qiang, et al.
Published: (2026)

Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
by: Chen, Yizhou, et al.
Published: (2024)

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation
by: Yu, Jiongchi, et al.
Published: (2025)

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities
by: Wang, Weizhe, et al.
Published: (2025)

RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
by: Qu, Wenjie, et al.
Published: (2025)

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
by: Dong, Xiaoning, et al.
Published: (2024)

SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
by: Guo, Zihan, et al.
Published: (2026)

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond
by: Gao, Zeyu, et al.
Published: (2025)

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)

Comparing Effectiveness and Efficiency of Interactive Application Security Testing (IAST) and Runtime Application Self-Protection (RASP) Tools in a Large Java-based System
by: Seth, Aishwarya, et al.
Published: (2023)

Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety
by: Chen, Xuan, et al.
Published: (2026)

PrediQL: Automated Testing of GraphQL APIs with LLMs
by: Liu, Shaolun, et al.
Published: (2025)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
by: Lin, Bo, et al.
Published: (2025)

SecMLOps: A Comprehensive Framework for Integrating Security Throughout the MLOps Lifecycle
by: Zhang, Xinrui, et al.
Published: (2026)

Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
by: Nie, Yuqing, et al.
Published: (2024)

CNT: Safety-oriented Function Reuse across LLMs via Cross-Model Neuron Transfer
by: Zhao, Yue, et al.
Published: (2026)