Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Khan, Arshiya, Liu, Guannan, Gao, Xing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
by: Le, Tan Khang, et al.
Published: (2024)
by: Le, Tan Khang, et al.
Published: (2024)
MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
by: Collini, Luca, et al.
Published: (2025)
by: Collini, Luca, et al.
Published: (2025)
Evaluating Adversarial Vulnerabilities in Modern Large Language Models
by: Perel, Tom
Published: (2025)
by: Perel, Tom
Published: (2025)
Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
by: Zhang, Xing, et al.
Published: (2026)
by: Zhang, Xing, et al.
Published: (2026)
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
by: Mächtle, Felix, et al.
Published: (2025)
by: Mächtle, Felix, et al.
Published: (2025)
A First Look at the Security Issues in the Model Context Protocol Ecosystem
by: Li, Xiaofan, et al.
Published: (2025)
by: Li, Xiaofan, et al.
Published: (2025)
Breaking the Protocol: Security Analysis of the Model Context Protocol Specification and Prompt Injection Vulnerabilities in Tool-Integrated LLM Agents
by: Maloyan, Narek, et al.
Published: (2026)
by: Maloyan, Narek, et al.
Published: (2026)
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
by: Nemecek, Alexander, et al.
Published: (2025)
by: Nemecek, Alexander, et al.
Published: (2025)
Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures
by: Schwarz, Dominik
Published: (2025)
by: Schwarz, Dominik
Published: (2025)
In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
by: Gao, Yiran, et al.
Published: (2026)
by: Gao, Yiran, et al.
Published: (2026)
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
by: Miah, Abdullah Arafat, et al.
Published: (2024)
by: Miah, Abdullah Arafat, et al.
Published: (2024)
An Engorgio Prompt Makes Large Language Model Babble on
by: Dong, Jianshuo, et al.
Published: (2024)
by: Dong, Jianshuo, et al.
Published: (2024)
Evaluation of Prompt Injection Defenses in Large Language Models
by: Deep, Priyal, et al.
Published: (2026)
by: Deep, Priyal, et al.
Published: (2026)
Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection
by: Chen, Meng, et al.
Published: (2026)
by: Chen, Meng, et al.
Published: (2026)
SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
by: Hong, Hanbin, et al.
Published: (2025)
by: Hong, Hanbin, et al.
Published: (2025)
Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis
by: Akhtar, Siraaj, et al.
Published: (2026)
by: Akhtar, Siraaj, et al.
Published: (2026)
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
by: Pushkar, Chinmay, et al.
Published: (2025)
by: Pushkar, Chinmay, et al.
Published: (2025)
Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)
by: Liu, Honghao, et al.
Published: (2026)
White-Basilisk: A Hybrid Model for Code Vulnerability Detection
by: Lamprou, Ioannis, et al.
Published: (2025)
by: Lamprou, Ioannis, et al.
Published: (2025)
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
by: Zhang, Jiawen, et al.
Published: (2025)
by: Zhang, Jiawen, et al.
Published: (2025)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
by: Levin, Roman, et al.
Published: (2025)
by: Levin, Roman, et al.
Published: (2025)
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
by: Huang, Tenghui, et al.
Published: (2025)
by: Huang, Tenghui, et al.
Published: (2025)
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
by: Peng, Benji, et al.
Published: (2024)
by: Peng, Benji, et al.
Published: (2024)
Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
by: Yu, Jeffy
Published: (2024)
by: Yu, Jeffy
Published: (2024)
Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
by: Yu, Junzhe, et al.
Published: (2025)
by: Yu, Junzhe, et al.
Published: (2025)
PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
by: Gasmi, Tarek, et al.
Published: (2025)
by: Gasmi, Tarek, et al.
Published: (2025)
CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
by: Li, Zhihao, et al.
Published: (2025)
by: Li, Zhihao, et al.
Published: (2025)
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
by: Hossain, Elias, et al.
Published: (2025)
by: Hossain, Elias, et al.
Published: (2025)
Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models
by: Rayhan, Naheed, et al.
Published: (2026)
by: Rayhan, Naheed, et al.
Published: (2026)
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
by: Wang, Xunguang, et al.
Published: (2026)
by: Wang, Xunguang, et al.
Published: (2026)
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
by: Yin, Zhenyu, et al.
Published: (2024)
by: Yin, Zhenyu, et al.
Published: (2024)
SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
by: Li, Xinghang, et al.
Published: (2025)
by: Li, Xinghang, et al.
Published: (2025)
Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
by: Li, Xiaofan, et al.
Published: (2025)
by: Li, Xiaofan, et al.
Published: (2025)
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
by: Ganiuly, Daniyal, et al.
Published: (2025)
by: Ganiuly, Daniyal, et al.
Published: (2025)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
by: Manuel, Dylan, et al.
Published: (2024)
by: Manuel, Dylan, et al.
Published: (2024)
ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
by: Sehwag, Udari Madhushani, et al.
Published: (2026)
by: Sehwag, Udari Madhushani, et al.
Published: (2026)
Similar Items
-
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024) -
A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
by: Le, Tan Khang, et al.
Published: (2024) -
MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
by: Collini, Luca, et al.
Published: (2025) -
Evaluating Adversarial Vulnerabilities in Modern Large Language Models
by: Perel, Tom
Published: (2025) -
Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
by: Zhang, Xing, et al.
Published: (2026)