Cover Image

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Xiaohu, Wen, Ming, Zhu, Jiahao, Xie, Zifan, Ji, Bin, Liu, Huijun, Shi, Xuanhua, Jin, Hai
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
by: Bu, Jiuyang, et al.
Published: (2025)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
by: Liu, Shangqing, et al.
Published: (2024)

Fine-Grained 1-Day Vulnerability Detection in Binaries via Patch Code Localization
by: Dong, Chaopeng, et al.
Published: (2025)

Prompt Engineering vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts
by: Boi, Biagio, et al.
Published: (2025)

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
by: Xie, Jin, et al.
Published: (2025)

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
by: Tarek, Shams, et al.
Published: (2025)

Detecting Code Vulnerabilities with Heterogeneous GNN Training
by: Luo, Yu, et al.
Published: (2025)

Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
by: Fu, Yu, et al.
Published: (2024)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)

Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
by: Ni, Chao, et al.
Published: (2024)

StrTune: Data Dependence-based Code Slicing for Binary Similarity Detection with Fine-tuned Representation
by: He, Kaiyan, et al.
Published: (2024)

On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
by: Park, Sangryu, et al.
Published: (2025)

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack
by: Chen, Guanzhong, et al.
Published: (2024)

VULSOLVER: Vulnerability Detection via LLM-Driven Constraint Solving
by: Li, Xiang, et al.
Published: (2025)

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
by: Qi, Weiliang, et al.
Published: (2024)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026)

When Fine-Tuning is Not Enough: Lessons from HSAD on Hybrid and Adversarial Audio Spoof Detection
by: Hu, Bin, et al.
Published: (2025)

Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories
by: Yildiz, Alperen, et al.
Published: (2025)

VulnScout-C: A Lightweight Transformer for C Code Vulnerability Detection
by: Lassoued, Aymen, et al.
Published: (2026)

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

Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024)

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
by: Sun, Zhen, et al.
Published: (2024)

Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection
by: Firouzi, Ehsan, et al.
Published: (2026)

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
by: Chen, Jiahao, et al.
Published: (2024)

Generative Large Language Model usage in Smart Contract Vulnerability Detection
by: Ince, Peter, et al.
Published: (2025)

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
by: Hossen, Md Imran, et al.
Published: (2024)

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
by: Liu, Hanzhi, et al.
Published: (2026)

FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk
by: Halder, Sajal, et al.
Published: (2025)

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
by: Manh, Cuong Tran, et al.
Published: (2024)

Vulnerability Detection in C/C++ Code with Deep Learning
by: Huang, Zhen, et al.
Published: (2024)

Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
by: Pagano, Francesco, et al.
Published: (2026)

SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation
by: Rezakhani, Mahshid, et al.
Published: (2026)

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection
by: Biringa, Chidera, et al.
Published: (2026)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024)

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
by: Chu, Zhaoyang, et al.
Published: (2025)

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
by: Zhao, Haodong, et al.
Published: (2026)

SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode
by: Bu, Jiuyang, et al.
Published: (2025)

Detect Llama -- Finding Vulnerabilities in Smart Contracts using Large Language Models
by: Ince, Peter, et al.
Published: (2024)

Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
by: Khan, Arshiya, et al.
Published: (2024)