Image de couverture de livre

Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Setak, Mohammad, Madani, Pooria
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLMs for Cyber Security: New Opportunities
par: Divakaran, Dinil Mon, et autres
Publié: (2024)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
par: Khanmohammadi, Kobra, et autres
Publié: (2025)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
par: Huang, Feiyang, et autres
Publié: (2026)

An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland Security
par: Maxam III, William P., et autres
Publié: (2024)

Compositional Jailbreaking: An Empirical Analysis of Mutator Chain Interactions in Aligned LLMs
par: Bugnot, Reinelle Jan, et autres
Publié: (2026)

Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
par: Li, Tian, et autres
Publié: (2025)

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
par: Lin, Bo, et autres
Publié: (2025)

A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
par: Teuwen, Koen T. W.
Publié: (2024)

Mining the YARA Ecosystem: From Ad-Hoc Sharing to Data-Driven Threat Intelligence
par: Esteban, Dectot--Le Monnier de Gouville, et autres
Publié: (2026)

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
par: Hossen, Md Imran, et autres
Publié: (2024)

LLM Security Guard for Code
par: Kavian, Arya, et autres
Publié: (2024)

FLAMES: Fine-tuning LLMs to Synthesize Invariants for Smart Contract Security
par: Eshghie, Mojtaba, et autres
Publié: (2025)

Does Teaming-Up LLMs Improve Secure Code Generation? A Comprehensive Evaluation with Multi-LLMSecCodeEval
par: Sabir, Bushra, et autres
Publié: (2026)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
par: Farhad, Mohammad, et autres
Publié: (2026)

Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
par: Nie, Yuqing, et autres
Publié: (2024)

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
par: Sun, Tiezhu, et autres
Publié: (2025)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
par: Mao, Zhenyu, et autres
Publié: (2025)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
par: Fang, Chongzhou, et autres
Publié: (2023)

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
par: Guo, Hanyang, et autres
Publié: (2025)

Security Testing of RESTful APIs With Test Case Mutation
par: Salva, Sebastien, et autres
Publié: (2024)

A LINDDUN-based Privacy Threat Modeling Framework for GenAI
par: Liao, Qianying, et autres
Publié: (2026)

Mutation-based Evaluation of Cryptographic API Misuse Detectors
par: Ami, Amit Seal, et autres
Publié: (2021)

Exploring Security Practices in Infrastructure as Code: An Empirical Study
par: Verdet, Alexandre, et autres
Publié: (2023)

Asset-centric Threat Modeling for AI-based Systems
par: von der Assen, Jan, et autres
Publié: (2024)

PATCHEVAL: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities
par: Wei, Zichao, et autres
Publié: (2025)

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
par: Zou, Muqi, et autres
Publié: (2025)

Publish Your Threat Models! The benefits far outweigh the dangers
par: Kohnfelder, Loren, et autres
Publié: (2025)

Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test
par: Haque, Mohd Ariful, et autres
Publié: (2026)

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
par: Ryan, Ahmed, et autres
Publié: (2026)

An In Depth Analysis of a Cyber Attack: Case Study and Security Insights
par: Pakshad, Puya
Publié: (2024)

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
par: Hasan, Mohammad Saqib, et autres
Publié: (2025)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
par: Lin, Bo, et autres
Publié: (2025)

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation
par: Yu, Jiongchi, et autres
Publié: (2025)

Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications
par: Tete, Stephen Burabari
Publié: (2024)

Introducing Systems Thinking as a Framework for Teaching and Assessing Threat Modeling Competency
par: Joshi, Siddhant S., et autres
Publié: (2024)

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications
par: Jedrzejewski, Felix Viktor, et autres
Publié: (2025)

PrediQL: Automated Testing of GraphQL APIs with LLMs
par: Liu, Shaolun, et autres
Publié: (2025)

Model Context Protocol Threat Modeling and Analyzing Vulnerabilities to Prompt Injection with Tool Poisoning
par: Huang, Charoes, et autres
Publié: (2026)

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
par: Arifin, Md Mashrur, et autres
Publié: (2026)

SecCodePRM: A Process Reward Model for Code Security
par: Yu, Weichen, et autres
Publié: (2026)