Saved in:
| Main Authors: | Sriram, Vidyut, Pandita, Sawan, Lakshmanan, Achintya, Shamraj, Aneesh, Saha, Suman |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.00509 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SecureCodeRL: Security-Aware Reinforcement Learning for Code Generation with Partial-Credit Rewards
by: Sijwali, Suryansh Singh, et al.
Published: (2026)
by: Sijwali, Suryansh Singh, et al.
Published: (2026)
RESCUE: Retrieval Augmented Secure Code Generation
by: Shi, Jiahao, et al.
Published: (2025)
by: Shi, Jiahao, et al.
Published: (2025)
Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
by: Gabbireddy, Divyesh, et al.
Published: (2026)
by: Gabbireddy, Divyesh, et al.
Published: (2026)
Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)
by: Cheng, Zirui, et al.
Published: (2025)
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
by: Kharma, Mohammed, et al.
Published: (2025)
by: Kharma, Mohammed, et al.
Published: (2025)
Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
by: Li, Tian, et al.
Published: (2025)
by: Li, Tian, et al.
Published: (2025)
Enhancing Reliability in LLM-Based Secure Code Generation
by: Kharma, Mohammed F., et al.
Published: (2026)
by: Kharma, Mohammed F., et al.
Published: (2026)
An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods
by: Kharma, Mohammed, et al.
Published: (2026)
by: Kharma, Mohammed, et al.
Published: (2026)
Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms
by: Wendlinger, Maximilian, et al.
Published: (2026)
by: Wendlinger, Maximilian, et al.
Published: (2026)
Is The Watermarking Of LLM-Generated Code Robust?
by: Suresh, Tarun, et al.
Published: (2024)
by: Suresh, Tarun, et al.
Published: (2024)
PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Provably Secure Retrieval-Augmented Generation
by: Zhou, Pengcheng, et al.
Published: (2025)
by: Zhou, Pengcheng, et al.
Published: (2025)
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models
by: Clop, Cody, et al.
Published: (2024)
by: Clop, Cody, et al.
Published: (2024)
Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
by: Lin, Bo, et al.
Published: (2025)
by: Lin, Bo, et al.
Published: (2025)
Rethinking the Evaluation of Secure Code Generation
by: Dai, Shih-Chieh, et al.
Published: (2025)
by: Dai, Shih-Chieh, et al.
Published: (2025)
Using Retriever Augmented Large Language Models for Attack Graph Generation
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
by: Prapty, Renascence Tarafder, et al.
Published: (2024)
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
by: Liu, Yinuo, et al.
Published: (2025)
by: Liu, Yinuo, et al.
Published: (2025)
Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
by: Lin, Bo, et al.
Published: (2025)
by: Lin, Bo, et al.
Published: (2025)
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
by: Chaudhari, Harsh, et al.
Published: (2024)
by: Chaudhari, Harsh, et al.
Published: (2024)
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
by: Mori, Junki, et al.
Published: (2025)
by: Mori, Junki, et al.
Published: (2025)
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction
by: Hu, Xiao, et al.
Published: (2025)
by: Hu, Xiao, et al.
Published: (2025)
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation
by: Fayyazi, Reza, et al.
Published: (2023)
by: Fayyazi, Reza, et al.
Published: (2023)
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
by: Zou, Wei, et al.
Published: (2024)
by: Zou, Wei, et al.
Published: (2024)
Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Differentially Private Datastore Generation for Retrieval-Augmented Inference
by: Abouelenein, Abdelrahman, et al.
Published: (2026)
by: Abouelenein, Abdelrahman, et al.
Published: (2026)
DP-Dueling: Learning from Preference Feedback without Compromising User Privacy
by: Saha, Aadirupa, et al.
Published: (2024)
by: Saha, Aadirupa, et al.
Published: (2024)
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
by: Thornton, Scott
Published: (2025)
by: Thornton, Scott
Published: (2025)
GoodVibe: Security-by-Vibe for LLM-Based Code Generation
by: Thang, Maximilian, et al.
Published: (2026)
by: Thang, Maximilian, et al.
Published: (2026)
Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection
by: Firouzi, Ehsan, et al.
Published: (2026)
by: Firouzi, Ehsan, et al.
Published: (2026)
Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems
by: Ogiesoba-Eguakun, Osasumwen Cedric, et al.
Published: (2025)
by: Ogiesoba-Eguakun, Osasumwen Cedric, et al.
Published: (2025)
From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation
by: Islam, Md Navid Bin, et al.
Published: (2026)
by: Islam, Md Navid Bin, et al.
Published: (2026)
Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications
by: Jiang, Changyue, et al.
Published: (2024)
by: Jiang, Changyue, et al.
Published: (2024)
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation
by: Kumar, Mayank, et al.
Published: (2025)
by: Kumar, Mayank, et al.
Published: (2025)
Constrained Decoding for Secure Code Generation
by: Fu, Yanjun, et al.
Published: (2024)
by: Fu, Yanjun, et al.
Published: (2024)
Instruction Tuning for Secure Code Generation
by: He, Jingxuan, et al.
Published: (2024)
by: He, Jingxuan, et al.
Published: (2024)
A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development
by: Kharma, Mohammed, et al.
Published: (2026)
by: Kharma, Mohammed, et al.
Published: (2026)
Security Attacks on LLM-based Code Completion Tools
by: Cheng, Wen, et al.
Published: (2024)
by: Cheng, Wen, et al.
Published: (2024)
Feedback Lunch: Learned Feedback Codes for Secure Communications
by: Zhou, Yingyao, et al.
Published: (2025)
by: Zhou, Yingyao, et al.
Published: (2025)
Similar Items
-
SecureCodeRL: Security-Aware Reinforcement Learning for Code Generation with Partial-Credit Rewards
by: Sijwali, Suryansh Singh, et al.
Published: (2026) -
RESCUE: Retrieval Augmented Secure Code Generation
by: Shi, Jiahao, et al.
Published: (2025) -
Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection
by: Gabbireddy, Divyesh, et al.
Published: (2026) -
Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025) -
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
by: Kharma, Mohammed, et al.
Published: (2025)