Cover Image

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hossen, Md Imran, Hei, Xiali
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning Aided Software Vulnerability Detection: A Survey
by: Uddin, Md Nizam, et al.
Published: (2025)

Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks
by: Hossen, Md Imran, et al.
Published: (2024)

ThermoCAPTCHA: Privacy-Preserving Human Verification with Farm-Resistant Traceable Tokens
by: Paul, Shovon, et al.
Published: (2026)

On Trojan Signatures in Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024)

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
by: Dozono, Kohei, et al.
Published: (2024)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
by: Shang, Xiuwei, et al.
Published: (2025)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
by: Chang, Shuyu, et al.
Published: (2026)

RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
by: Qu, Wenjie, et al.
Published: (2025)

How Far Have We Gone in Binary Code Understanding Using Large Language Models
by: Shang, Xiuwei, et al.
Published: (2024)

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models
by: Li, Yikun, et al.
Published: (2025)

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
by: Guo, Hanyang, et al.
Published: (2025)

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)

Large Language Models for Code: Security Hardening and Adversarial Testing
by: He, Jingxuan, et al.
Published: (2023)

Unknown Attack Detection in IoT Networks using Large Language Models: A Robust, Data-efficient Approach
by: Ali, Shan, et al.
Published: (2026)

Security of Language Models for Code: A Systematic Literature Review
by: Chen, Yuchen, et al.
Published: (2024)

Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
by: Cao, Jialun, et al.
Published: (2024)

Instruction Tuning for Secure Code Generation
by: He, Jingxuan, et al.
Published: (2024)

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
by: Tessa, Melissa, et al.
Published: (2026)

Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
by: Setak, Mohammad, et al.
Published: (2024)

Traces of Memorisation in Large Language Models for Code
by: Al-Kaswan, Ali, et al.
Published: (2023)

SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models
by: Dikici, Kıvanç Kuzey, et al.
Published: (2026)

Large Language Model assisted Hybrid Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

Large Language Models-Aided Program Debloating
by: Lin, Bo, et al.
Published: (2025)

An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
by: Zhan, Dongyang, et al.
Published: (2025)

Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
by: Yang, Guang, et al.
Published: (2024)

On the effectiveness of Large Language Models for GitHub Workflows
by: Zhang, Xinyu, et al.
Published: (2024)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
by: Ning, Kaiwen, et al.
Published: (2024)

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
by: Yang, Zhou, et al.
Published: (2023)

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

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications
by: Jedrzejewski, Felix Viktor, et al.
Published: (2025)

Evaluating Large Language Models for Line-Level Vulnerability Localization
by: Zhang, Jian, et al.
Published: (2024)

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
by: Shi, Wenxuan, et al.
Published: (2024)

Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)

Understanding the Supply Chain and Risks of Large Language Model Applications
by: Ma, Yujie, et al.
Published: (2025)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
by: Zhao, Jian, et al.
Published: (2024)

SecCodePRM: A Process Reward Model for Code Security
by: Yu, Weichen, et al.
Published: (2026)

LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
by: Chen, Hongbo, et al.
Published: (2024)

HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
by: Luo, Yu, et al.
Published: (2025)