3 papers
cs.CR2026
SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward
Rupam Patir, Keyan Guo, Haipeng Cai +1
The increasing use of AI systems for code generation raises a central security question: what can today's models and coding agents actually do to produce secure code, where do they…
cs.SE2026
DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents
Rupam Patir, Keyan Guo, Suvadra Barua +5
Large language models (LLMs) and LLM-based coding agents are now used to generate code from natural-language specifications, yet ensuring such code is both functionally correct and…
cs.CR2025
Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
Rupam Patir, Keyan Guo, Haipeng Cai +1
The code generation capabilities of Large Language Models (LLMs) have transformed the field of software development. However, this advancement also presents significant security ch…