Cover Image

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Jiongchi, Xie, Xiaofei, Hu, Qiang, Ma, Yuhan, Zhao, Ziming
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model Supply Chain: Open Problems From the Security Perspective
by: Hu, Qiang, et al.
Published: (2024)

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
by: Yu, Jiongchi, et al.
Published: (2025)

Understanding the Supply Chain and Risks of Large Language Model Applications
by: Ma, Yujie, et al.
Published: (2025)

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
by: Weng, Shihao, et al.
Published: (2026)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
by: He, Ping, et al.
Published: (2025)

Automatically Generating Rules of Malicious Software Packages via Large Language Model
by: Zhang, XiangRui, et al.
Published: (2025)

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing
by: Zheng, Xinran, et al.
Published: (2025)

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

Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
by: Garg, Aayush, et al.
Published: (2025)

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
by: Yang, Ruozhao, et al.
Published: (2025)

AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications
by: Yang, Ruozhao, et al.
Published: (2026)

An Empirical Study of Vulnerability Detection using Federated Learning
by: Zhou, Peiheng, et al.
Published: (2024)

Reflection-Driven Control for Trustworthy Code Agents
by: Wang, Bin, et al.
Published: (2025)

LLM-enabled Applications Require System-Level Threat Monitoring
by: Zhang, Yedi, et al.
Published: (2026)

Cochise: A Reference Harness for Autonomous Penetration Testing
by: Happe, Andreas, et al.
Published: (2026)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
by: Sun, Yuqiang, et al.
Published: (2023)

HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
by: Yang, Kang, et al.
Published: (2025)

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
by: Tamberg, Karl, et al.
Published: (2024)

Decaf: Improving Neural Decompilation with Automatic Feedback and Search
by: Shypula, Alexander, et al.
Published: (2026)

MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement
by: Li, Youpeng, et al.
Published: (2025)

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
by: Shen, Qingchao, et al.
Published: (2026)

PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)

LLMs + Security = Trouble
by: Livshits, Benjamin
Published: (2026)

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
by: Sun, Yuqiang, et al.
Published: (2024)

LLMs as verification oracles for Solidity
by: Bartoletti, Massimo, et al.
Published: (2025)

When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems
by: Wang, Su, et al.
Published: (2026)

SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
by: Gajjar, Jugal, et al.
Published: (2025)

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
by: Momcilovic, Tomas Bueno, et al.
Published: (2024)

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges
by: Al-Kaswan, Ali, et al.
Published: (2026)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)

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

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

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
by: Gu, Shanzhi, et al.
Published: (2025)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
by: Chen, Yufan, et al.
Published: (2025)

Favia: Forensic Agent for Vulnerability-fix Identification and Analysis
by: Storhaug, André, et al.
Published: (2026)

OpenSage: Self-programming Agent Generation Engine
by: Li, Hongwei, et al.
Published: (2026)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
by: Yang, Hua, et al.
Published: (2025)