On the Security Vulnerabilities of Text-to-SQL Models
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Xutan, Zhang, Yipeng, Yang, Jingfeng, Stevenson, Mark |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
by: Chen, Yongxin, et al.
Published: (2026)
by: Chen, Yongxin, et al.
Published: (2026)
Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
by: Zhuo, Terry Yue, et al.
Published: (2025)
by: Zhuo, Terry Yue, et al.
Published: (2025)
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024)
by: Berabi, Berkay, et al.
Published: (2024)
MINES: Explainable Anomaly Detection through Web API Invariant Inference
by: Zhang, Wenjie, et al.
Published: (2025)
by: Zhang, Wenjie, et al.
Published: (2025)
TOSSS: a CVE-based Software Security Benchmark for Large Language Models
by: Damie, Marc, et al.
Published: (2026)
by: Damie, Marc, et al.
Published: (2026)
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024)
by: Yang, Aidan Z. H., et al.
Published: (2024)
Large Language Models for Code: Security Hardening and Adversarial Testing
by: He, Jingxuan, et al.
Published: (2023)
by: He, Jingxuan, et al.
Published: (2023)
Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection
by: Liang, Zi, et al.
Published: (2026)
by: Liang, Zi, et al.
Published: (2026)
RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale
by: Garg, Ayush, et al.
Published: (2026)
by: Garg, Ayush, et al.
Published: (2026)
ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
by: Xu, Xiangzhe, et al.
Published: (2025)
by: Xu, Xiangzhe, et al.
Published: (2025)
PurpCode: Reasoning for Safer Code Generation
by: Liu, Jiawei, et al.
Published: (2025)
by: Liu, Jiawei, et al.
Published: (2025)
Deep Learning Model Security: Threats and Defenses
by: Wang, Tianyang, et al.
Published: (2024)
by: Wang, Tianyang, et al.
Published: (2024)
MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection
by: Zhang, Yuteng, et al.
Published: (2026)
by: Zhang, Yuteng, et al.
Published: (2026)
Textual analysis of End User License Agreement for red-flagging potentially malicious software
by: Khan, Behraj, et al.
Published: (2024)
by: Khan, Behraj, et al.
Published: (2024)
Learning-based Models for Vulnerability Detection: An Extensive Study
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities
by: Khare, Avishree, et al.
Published: (2023)
by: Khare, Avishree, et al.
Published: (2023)
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)
Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox
by: Shukla, Shivani, et al.
Published: (2025)
by: Shukla, Shivani, et al.
Published: (2025)
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
by: Hajipour, Hossein, et al.
Published: (2024)
by: Hajipour, Hossein, et al.
Published: (2024)
Efficient Software Vulnerability Detection Using Transformer-based Models
by: Shaik, Sameer, et al.
Published: (2026)
by: Shaik, Sameer, et al.
Published: (2026)
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)
MVD: A Multi-Lingual Software Vulnerability Detection Framework
by: Zhang, Boyu, et al.
Published: (2024)
by: Zhang, Boyu, et al.
Published: (2024)
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation
by: Fei, Qingyuan, et al.
Published: (2025)
by: Fei, Qingyuan, et al.
Published: (2025)
Enhancing Cloud Security through Topic Modelling
by: Saleh, Sabbir M., et al.
Published: (2025)
by: Saleh, Sabbir M., et al.
Published: (2025)
From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
by: Lu, Chaomeng, et al.
Published: (2025)
by: Lu, Chaomeng, et al.
Published: (2025)
On the Difficulty of Selecting Few-Shot Examples for Effective LLM-based Vulnerability Detection
by: Hannan, Md Abdul, et al.
Published: (2025)
by: Hannan, Md Abdul, et al.
Published: (2025)
Assessing the Software Security Comprehension of Large Language Models
by: Siddiq, Mohammed Latif, et al.
Published: (2025)
by: Siddiq, Mohammed Latif, et al.
Published: (2025)
ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024)
by: Xu, Xiangzhe, et al.
Published: (2024)
SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment
by: Nayan, Tushar, et al.
Published: (2025)
by: Nayan, Tushar, et al.
Published: (2025)
RESCUE: Retrieval Augmented Secure Code Generation
by: Shi, Jiahao, et al.
Published: (2025)
by: Shi, Jiahao, et al.
Published: (2025)
Black-Box Adversarial Attacks on LLM-Based Code Completion
by: Jenko, Slobodan, et al.
Published: (2024)
by: Jenko, Slobodan, et al.
Published: (2024)
Automata-Based Steering of Large Language Models for Diverse Structured Generation
by: Luan, Xiaokun, et al.
Published: (2025)
by: Luan, Xiaokun, et al.
Published: (2025)
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
by: Li, Ziyang, et al.
Published: (2024)
by: Li, Ziyang, et al.
Published: (2024)
QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities
by: Wang, Claire, et al.
Published: (2025)
by: Wang, Claire, et al.
Published: (2025)
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
by: Dong, Yihong, et al.
Published: (2024)
by: Dong, Yihong, et al.
Published: (2024)
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
by: Steenhoek, Benjamin, et al.
Published: (2024)
by: Steenhoek, Benjamin, et al.
Published: (2024)
LeCov: Multi-level Testing Criteria for Large Language Models
by: Xie, Xuan, et al.
Published: (2024)
by: Xie, Xuan, et al.
Published: (2024)
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
by: Cheng, Baijun, et al.
Published: (2024)
by: Cheng, Baijun, et al.
Published: (2024)
Similar Items
-
FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
by: Chen, Yongxin, et al.
Published: (2026) -
Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
by: Zhuo, Terry Yue, et al.
Published: (2025) -
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024) -
MINES: Explainable Anomaly Detection through Web API Invariant Inference
by: Zhang, Wenjie, et al.
Published: (2025) -
TOSSS: a CVE-based Software Security Benchmark for Large Language Models
by: Damie, Marc, et al.
Published: (2026)