SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Fang, Liu, Simiao, Zhu, Yinghao, Lian, Xiaoli, Zhang, Li |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
An Empirical Study on Failures in Automated Issue Solving
by: Liu, Simiao, et al.
Published: (2025)
by: Liu, Simiao, et al.
Published: (2025)
Structure-aware Fine-tuning for Code Pre-trained Models
by: Wu, Jiayi, et al.
Published: (2024)
by: Wu, Jiayi, et al.
Published: (2024)
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
by: Yu, Jiaxin, et al.
Published: (2024)
by: Yu, Jiaxin, et al.
Published: (2024)
Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects
by: Begolli, Igli, et al.
Published: (2025)
by: Begolli, Igli, et al.
Published: (2025)
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025)
by: Chen, Junkai, et al.
Published: (2025)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
CodeMirage: Hallucinations in Code Generated by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)
by: Agarwal, Vibhor, et al.
Published: (2024)
SALLM: Security Assessment of Generated Code
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
by: Mitropoulos, Dimitris, et al.
Published: (2026)
by: Mitropoulos, Dimitris, et al.
Published: (2026)
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)
by: Liu, Xiangyan, et al.
Published: (2024)
GitHub's Copilot Code Review: Can AI Spot Security Flaws Before You Commit?
by: Amro, Amena, et al.
Published: (2025)
by: Amro, Amena, et al.
Published: (2025)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
AI Code in the Wild: Measuring Security Risks and Ecosystem Shifts of AI-Generated Code in Modern Software
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
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)
Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
The Impact of Fine-tuning Large Language Models on Automated Program Repair
by: Macháček, Roman, et al.
Published: (2025)
by: Macháček, Roman, et al.
Published: (2025)
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
by: Lee, Seonghyeon, et al.
Published: (2024)
by: Lee, Seonghyeon, et al.
Published: (2024)
Devstral: Fine-tuning Language Models for Coding Agent Applications
by: Rastogi, Abhinav, et al.
Published: (2025)
by: Rastogi, Abhinav, et al.
Published: (2025)
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
Self-Explained Keywords Empower Large Language Models for Code Generation
by: Fan, Lishui, et al.
Published: (2024)
by: Fan, Lishui, et al.
Published: (2024)
Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
by: Nguyen, Linh, et al.
Published: (2025)
by: Nguyen, Linh, et al.
Published: (2025)
Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)
by: Cihan, Umut, et al.
Published: (2025)
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
by: Fan, Shengda, et al.
Published: (2024)
by: Fan, Shengda, et al.
Published: (2024)
Benchmarking Correctness and Security in Multi-Turn Code Generation
by: Rawal, Ruchit, et al.
Published: (2025)
by: Rawal, Ruchit, et al.
Published: (2025)
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)
by: Huang, Baizhou, et al.
Published: (2023)
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
by: Yang, Chengran, et al.
Published: (2026)
by: Yang, Chengran, et al.
Published: (2026)
DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
by: Pathak, Abhijeet, et al.
Published: (2025)
by: Pathak, Abhijeet, et al.
Published: (2025)
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
by: Huang, Dong, et al.
Published: (2024)
by: Huang, Dong, et al.
Published: (2024)
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
by: Lian, Keke, et al.
Published: (2025)
by: Lian, Keke, et al.
Published: (2025)
Mitigating Gender Bias in Code Large Language Models via Model Editing
by: Qin, Zhanyue, et al.
Published: (2024)
by: Qin, Zhanyue, et al.
Published: (2024)
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
by: Zhuo, Terry Yue, et al.
Published: (2024)
by: Zhuo, Terry Yue, et al.
Published: (2024)
A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)
by: Havare, Jayant, et al.
Published: (2025)
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2024)
by: Sah, Chandan Kumar, et al.
Published: (2024)
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
by: Jiang, Siyuan, et al.
Published: (2024)
by: Jiang, Siyuan, et al.
Published: (2024)
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)
by: Yuan, He Yang, et al.
Published: (2026)
Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026)
by: Sounack, Thomas, et al.
Published: (2026)
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
Automating the Correctness Assessment of AI-generated Code for Security Contexts
by: Cotroneo, Domenico, et al.
Published: (2023)
by: Cotroneo, Domenico, et al.
Published: (2023)
Similar Items
-
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026) -
An Empirical Study on Failures in Automated Issue Solving
by: Liu, Simiao, et al.
Published: (2025) -
Structure-aware Fine-tuning for Code Pre-trained Models
by: Wu, Jiayi, et al.
Published: (2024) -
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
by: Liu, Simiao, et al.
Published: (2026) -
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
by: Yu, Jiaxin, et al.
Published: (2024)