4 papers · 1 filter
An Empirical Study of Security Calibration in Large Language Models for Code
Mohammed Latif Siddiq, Md. Nafiu Rahman, Joanna C. S. Santos
Large Language Models (LLMs) are rapidly transforming software development, yet their use in security-critical contexts raises a key question: do models know when their generated c…
BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation
Mahir Labib Dihan, Sadif Ahmed, Md Nafiu Rahman
Bangla is a low-resource language for code generation, lacking large-scale annotated datasets and tools to transform natural language specifications into executable programs. This…
Secret Breach Detection in Source Code with Large Language Models
Md Nafiu Rahman, Sadif Ahmed, Zahin Wahab +2
Background: Leaking sensitive information - such as API keys, tokens, and credentials - in source code remains a persistent security threat. Traditional regex and entropy-based too…
Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation
Sadif Ahmed, Md Nafiu Rahman, Zahin Wahab +2
In the digital era, accidental exposure of sensitive information such as API keys, tokens, and credentials is a growing security threat. While most prior work focuses on detecting…