Imagen de Portada

SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Brett, Ivo
Formato:	Preprint
Publicado:	2026
Materias:	Software Engineering Artificial Intelligence Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
por: Lu, Mengdi, et al.
Publicado: (2025)

Prompt Injection attack against LLM-integrated Applications
por: Liu, Yi, et al.
Publicado: (2023)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
por: Crawford, Brian, et al.
Publicado: (2026)

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects
por: Wang, Yuxuan, et al.
Publicado: (2025)

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

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

Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization
por: Li, Ying, et al.
Publicado: (2026)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
por: Kong, Ziqiao, et al.
Publicado: (2026)

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

Security of LLM-generated Code: A Comparative Analysis
por: Morkonda, Srivathsan G, et al.
Publicado: (2026)

The potential of LLM-generated reports in DevSecOps
por: Lykousas, Nikolaos, et al.
Publicado: (2024)

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
por: Hou, Xinyi, et al.
Publicado: (2025)

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
por: Qin, Kaihua, et al.
Publicado: (2026)

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

Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
por: Mitropoulos, Dimitris, et al.
Publicado: (2026)

Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research
por: Bommarito II, Michael J.
Publicado: (2026)

Casting a SPELL: Sentence Pairing Exploration for LLM Limitation-breaking
por: Huang, Yifan, et al.
Publicado: (2025)

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
por: Li, Youpeng, et al.
Publicado: (2025)

AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software
por: Yang, Rui, et al.
Publicado: (2025)

Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users
por: Bhardwaj, Arth, et al.
Publicado: (2026)

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
por: Chu, Junjie, et al.
Publicado: (2026)

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
por: Peng, Jiaren, et al.
Publicado: (2026)

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

MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
por: Nguyen, Van, et al.
Publicado: (2025)

Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration
por: Shaikh, Khushbu Mehboob, et al.
Publicado: (2025)

From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
por: Li, Youpeng, et al.
Publicado: (2026)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
por: Hu, Junze, et al.
Publicado: (2025)

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

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
por: Patir, Rupam, et al.
Publicado: (2025)

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
por: Ni, Ronghao, et al.
Publicado: (2026)

Poisoned Identifiers Survive LLM Deobfuscation: A Case Study on Claude Opus 4.6
por: Lorenzo, Luis Guzmán
Publicado: (2026)

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
por: Haque, Ariful, et al.
Publicado: (2025)

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

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

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

Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
por: Gajjar, Jugal, et al.
Publicado: (2025)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
por: Yan, Shenao, et al.
Publicado: (2024)

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
por: Sheng, Zhang, et al.
Publicado: (2025)

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering
por: Navneet, Satyam Kumar, et al.
Publicado: (2025)

Learning to Generate Secure Code via Token-Level Rewards
por: Quan, Jiazheng, et al.
Publicado: (2026)