A Mixture of Linear Corrections Generates Secure Code
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Weichen, Mangal, Ravi, Zhuo, Terry, Fredrikson, Matt, Pasareanu, Corina S. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SecCodePRM: A Process Reward Model for Code Security
by: Yu, Weichen, et al.
Published: (2026)
by: Yu, Weichen, et al.
Published: (2026)
PrivCode: When Code Generation Meets Differential Privacy
by: Liu, Zheng, et al.
Published: (2025)
by: Liu, Zheng, et al.
Published: (2025)
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
by: Peng, Yibo, et al.
Published: (2025)
by: Peng, Yibo, et al.
Published: (2025)
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
by: Wu, Tianyi, et al.
Published: (2026)
by: Wu, Tianyi, et al.
Published: (2026)
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
by: Elgedawy, Ran, et al.
Published: (2024)
by: Elgedawy, Ran, et al.
Published: (2024)
Artificial-Intelligence Generated Code Considered Harmful: A Road Map for Secure and High-Quality Code Generation
by: Chong, Chun Jie, et al.
Published: (2024)
by: Chong, Chun Jie, et al.
Published: (2024)
SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
VibeGuard: A Security Gate Framework for AI-Generated Code
by: Xie, Ying
Published: (2026)
by: Xie, Ying
Published: (2026)
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
by: Wang, Lingxiang, et al.
Published: (2025)
by: Wang, Lingxiang, et al.
Published: (2025)
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code
by: Ton, Khiem, et al.
Published: (2024)
by: Ton, Khiem, et al.
Published: (2024)
SeCodePLT: A Unified Platform for Evaluating the Security of Code GenAI
by: Nie, Yuzhou, et al.
Published: (2024)
by: Nie, Yuzhou, et al.
Published: (2024)
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)
ESAA-Security: An Event-Sourced, Verifiable Architecture for Agent-Assisted Security Audits of AI-Generated Code
by: Filho, Elzo Brito dos Santos
Published: (2026)
by: Filho, Elzo Brito dos Santos
Published: (2026)
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)
SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
by: Shen, Chihao, et al.
Published: (2025)
by: Shen, Chihao, et al.
Published: (2025)
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)
by: Chen, Qirui, et al.
Published: (2026)
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)
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
by: Shahid, Muhammad Usman, et al.
Published: (2025)
by: Shahid, Muhammad Usman, et al.
Published: (2025)
Towards Provable (In)Secure Model Weight Release Schemes
by: Yang, Xin, et al.
Published: (2025)
by: Yang, Xin, et al.
Published: (2025)
Is Your Prompt Poisoning Code? Defect Induction Rates and Security Mitigation Strategies
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
by: Saha, Shoumik, et al.
Published: (2025)
by: Saha, Shoumik, et al.
Published: (2025)
Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security
by: Chua, Gabriel
Published: (2025)
by: Chua, Gabriel
Published: (2025)
DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
by: Pathak, Abhijeet, et al.
Published: (2025)
by: Pathak, Abhijeet, et al.
Published: (2025)
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
by: Yang, Xu, et al.
Published: (2024)
by: Yang, Xu, et al.
Published: (2024)
AI Code Generators for Security: Friend or Foe?
by: Natella, Roberto, et al.
Published: (2024)
by: Natella, Roberto, et al.
Published: (2024)
Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment
by: Xie, Yuchong, et al.
Published: (2025)
by: Xie, Yuchong, et al.
Published: (2025)
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
by: Li, Zhengyi, et al.
Published: (2026)
by: Li, Zhengyi, et al.
Published: (2026)
A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs
by: Lee, Kiho, et al.
Published: (2025)
by: Lee, Kiho, et al.
Published: (2025)
Constrained Decoding for Secure Code Generation
by: Fu, Yanjun, et al.
Published: (2024)
by: Fu, Yanjun, et al.
Published: (2024)
Enhancing Reliability in LLM-Based Secure Code Generation
by: Kharma, Mohammed F., et al.
Published: (2026)
by: Kharma, Mohammed F., et al.
Published: (2026)
Security of and by Generative AI platforms
by: Hayagreevan, Hari, et al.
Published: (2024)
by: Hayagreevan, Hari, et al.
Published: (2024)
Secure Multiparty Generative AI
by: Shrestha, Manil, et al.
Published: (2024)
by: Shrestha, Manil, et al.
Published: (2024)
Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
by: Zhou, Ying, et al.
Published: (2026)
by: Zhou, Ying, et al.
Published: (2026)
When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models
by: Liu, Xiaoze, et al.
Published: (2025)
by: Liu, Xiaoze, et al.
Published: (2025)
Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
by: Patir, Rupam, et al.
Published: (2025)
by: Patir, Rupam, et al.
Published: (2025)
Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
by: Kim, Jungin, et al.
Published: (2025)
by: Kim, Jungin, et al.
Published: (2025)
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)
by: Quan, Jiazheng, et al.
Published: (2026)
ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications
by: Bandara, Eranga, et al.
Published: (2025)
by: Bandara, Eranga, et al.
Published: (2025)
Similar Items
-
SecCodePRM: A Process Reward Model for Code Security
by: Yu, Weichen, et al.
Published: (2026) -
PrivCode: When Code Generation Meets Differential Privacy
by: Liu, Zheng, et al.
Published: (2025) -
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
by: Zhang, Han, et al.
Published: (2024) -
When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
by: Peng, Yibo, et al.
Published: (2025) -
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
by: Wu, Tianyi, et al.
Published: (2026)