8 papers
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…
A Survey on Agentic Security: Applications, Threats and Defenses
Asif Shahriar, Md Nafiu Rahman, Sadif Ahmed +2
LLM-based agents are now used throughout cybersecurity. While these agents facilitate powerful and autonomous security applications, their autonomy opens up new attack surfaces, an…
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…
IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports
Md Nafiu Rahman, Sadif Ahmed, Zahin Wahab +2
GitHub and GitLab are widely used collaborative platforms whose issue-tracking systems contain large volumes of unstructured text, including logs, code snippets, and configuration…
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…
EVCC: Enhanced Vision Transformer-ConvNeXt-CoAtNet Fusion for Classification
Kazi Reyazul Hasan, Md Nafiu Rahman, Wasif Jalal +4
Hybrid vision architectures combining Transformers and CNNs have significantly advanced image classification, but they usually do so at significant computational cost. We introduce…